Involves 3 countries in Europe (Portugal, Spain, and Germany) and one academic partner in the US
Includes 62 researchers actively involved in the project, from which 20 are Experienced Researchers (ER)
In this 4 years project, 4 workshops will be held, 3 in Europe and 1 in the US
Smart Grid (SG) concepts are rapidly being transferred to the market and huge investments have been made in renewable-based electricity generation and rolling out smart meters. However, the present state of the art does not ensure neither a good return of investment nor a sustainable and efficient power system. The work so far in the EU involves mainly larger stakeholders, namely power utilities and manufacturers more focused on production and grid resources. A closer attention to the demand side of the system is required, and especially in the interaction with the new methods for SG management. Efficient power systems require the optimal use of the available resources to cope with demand requirements and Demand Response (DR) programs with adequate business models can leverage demand flexibility both on centralized and distributed models, as renewable energygeneration is highly dependable of uncontrolled factors (as wind and solar radiation) for which anticipated forecasts are hardly trustful.
DREAM-GO puts together research teams from the EU and US thus taking advantage of US experience in DR, teaming up academic partners with pioneer work in smart grid management and non-academic partners (SMEs) with the required know how and infrastructure to jointly produce relevant advancements in the state of the art. SME participation will ensure cross-fertilization of ideas and competences to build a knowledge network targeting the scientific community and other smart grid actors, as power resource managers, grid operators and resource aggregators, and ultimately targeting consumers (through consumers organisations and curtailment service providers) on the demand side. The main goal is to create a framework with the required methods and solutions to facilitate the adoption of the results in final applications, by providing grounded scientific knowledge to possible pathways for future implementation of a more efficient SG system in the EU.
Business models for short and real-time demand response in smart grids
Models and methods to simulate and assess the use of short and real-time demand response in smart grids
Specifications of the communications, devices, and methods to enable direct load control
Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD) is the largest R&D unit of IPP, and it is located in the IPP Engineering Faculty.
Virtual Power Solutions (VPS) is an international company specialized in Telemetry and Remote Asset Management, and is a global leader in different market segments.
Its name derives from its main areas of research and project development: Bioinformatics, Intelligent Systems and Educational Technology.
Devoted to the research, development and commercialization of innovative technological products related to Wireless Sensor Networks (WSN) and Real-Time Locating Systems (RTLS).
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Amin Gazafroudi, João Soares, Ali Fotouhi, Tiago Pinto, Zita Vale, Juan Corchado, “Stochastic interval-based optimal offering model for residential energy management systems by household owners”, IJEPES, vol. 105, pp. 201-219, February 2019. DOI
Amin Gazafroudi, Juan Corchado, Andrew Keane, Alireza Soroudi, “Decentralized Flexibility Management for Electric Vehicles”, IET Renewable Power Generation, January 2019 DOI
Jaime Fernandez, Tiago Pinto, Francisco Silva, Isabel Praça, Zita Vale, Juan Corchado, “Context Aware Q-Learning-Based Model for Decision Support in the Negotiation of Energy Contracts”, IJEPES, vol. 104, pp. 489-501, January 2019 DOI
Tiago Pinto, Ricardo Faia, Ali Fotouhi, Joao Soares, Juan Corchado, Zita Vale, “Decision support for small players negotiations under a transactive energy framework”, IEEE Transactions on Power Systems, December 2018 DOI
Luis Gomes, Filipe Sousa, Zita Vale, “An Intelligent Smart Plug with Shared Knowledge Capabilities”, Sensors, vol. 18, no. 11, November 2018 DOI
Tiago Pinto, Ricardo Faia, Maria Navarro, Gabriel Santos, Juan Corchado, Zita Vale, “Multi-Agent-Based CBR Recommender System for Intelligent Energy Management in Buildings”, IEEE Systems Journal, November 2018 DOI
Pramod Herath, Vito Fusco, Maria Navarro, Kumar Venayagamoorthy, Stefano Squartini, Franceso Piazza, Juan Corchado, “Computational Intelligence based demand response management in a microgrid”, IEEE Transactions on Industry Applications (TIA), 2018. DOI
Gabriel Santos, Tiago Pinto, Isabel Praça, Zita Vale, “Iberian Electricity Market Ontology to enable Smart Grid Market simulation”, Energy Informatics, vol. 1, no. 1, September 2018 DOI
Ricardo Faia, Tiago Pinto, Zita Vale, Juan Corchado, “Strategic Particle Swarm Inertia Selection for Electricity Markets Participation Portfolio Optimization”, Applied Artificial Intelligence, August 2018 DOI
Luis Gomes, Pedro Faria, Zita Vale, Jorge Silva, “Energy Analyzer Emulator for Microgrid Implementation and Demonstration and Respective Gateway”, IEEE Transactions on Industry Applications, August 2018 DOI
Pedro Faria, João Spínola, Zita Vale, “Methods for Aggregation and Remuneration of Distributed Energy Resources”, Applied Sciences, vol. 8, no. 8, August 2018 DOI
Fernando Lezama, João Soares, Pablo Hernandez, Michael Kaisers, Tiago Pinto, Zita Vale, “Local Energy Markets: Paving the Path Towards Fully Transactive Energy Systems”, IEEE Transactions on Power Systems, July 2018 DOI
Maria Navarro, Pramod Herath, Francisco Castrillo, Gabriel Villarrubia, Kumar Venyagamoorthy, “An evaluation of a metaheuristic artificial immune system for household energy optimization”, Complexity, vol. 2018, 2018 DOI
Pedro Faria, João Spínola, Zita Vale, “Distributed Energy Resources Scheduling and Aggregation in the Context of Demand Response Programs”, Energies, vol. 11, no. 8, July 2018 DOI
Francisco Castrillo, Amin Gazafroudi, Javier Prieto, Juan Corchado, “An Ising Spin-Based Model to Explore Efficient Flexibility in Distributed Power Systems”, Complexity, vol. 2018, May 2018 DOI
Diego M. Jiménez-Bravo, Juan F. Paz, Gabriel Villarrubia, Javier Bajo, “Dealing with Demand in Electric Grids with an Adaptive Consumption Management Platform”, Complexity, vol. 2018, 2018 DOI
Omid Abrishambaf, Pedro Faria, João Spínola, Zita Vale, “An Aggregation Model for Energy Resources Management and Market Negotiations”, ASTESJ, vol. 3, no. 2, pp. 231-237, March 2018 DOI
Pedro Faria, João Spínola, Zita Vale, “Reschedule of Distributed Energy Resources by an Aggregator for Market Participation”, Energies, vol. 11, no. 4, March 2018 DOI
Soroush Najafi, Saber Talari, Amin Gazafroudi, Miadreza Shafie-khah, Juan Corchado, João Catalão, “Decentralized Control of DR Using a Multi-agent Method”, Sustainable Interdependent Networks. Studies in Systems, Decision and Control, vol. 145. February 2018 DOI
Brígida Teixeira, Tiago Pinto, Francisco Silva, Gabriel Santos, Isabel Praça, Zita Vale, “Multi-Agent Decision Support Tool to Enable Interoperability among Heterogeneous Energy Systems”, Applied Sciences, vol. 8, no. 3, February 2018 DOI
Pablo Chamoso, Juan Paz, Javier Bajo, Gabriel Villarrubia, "Agent-based tool to reduce the maintenance cost of energy distribution networks," Knowledge and Information Systems, vol. 54, no. 3, pp 659–675, October 2017 DOI
Tiago Soares, Marco Silva, Tiago Sousa, Hugo Morais, Zita Vale, “Energy and Reserve under Distributed Energy Resources Management—Day-Ahead, Hour-Ahead and Real-Time”, Energies, vol. 10, no. 11, November 2017 DOI
Amin Gazafroudi, Miadreza Shafie-khah, Mehrdad Abedi, Gholam Riahy, Hossein Hosseinian, Lalit Goel, Peyman Karimyan, Francisco Prieto-Catrillo, Juan Corchado, João Catalão, “A Novel Stochastic Reserve Cost Allocation Approach of Electricity Market Agents in the Restructured Power Systems”, Electric Power Systems Research, vol. 152, pp. 223-236, November 2017 DOI
Ricardo Faia, Tiago Pinto, Omid Abrishambaf, Filipe Fernandes, Zita Vale, Juan Corchado, “Case Based Reasoning with Expert System and Swarm Intelligence to determine Energy Reduction in Buildings Energy Management”, Energy & Buildings, vol. 155, pp. 269-281, November 2017 DOI
Amin Gazafroudi, Francisco Castrillo, Tiago Pinto, Javier Prieto, Juan Corchado, Javier Bajo, “Energy Flexibility Management Based on Predictive Dispatch Model of Domestic Energy Management System”, Energies, vol. 10, no. 9, September 2017 DOI
Ali Ghazvini, João Soares, Hugo Morais, Rui Castro, Zita Vale, “Dynamic Pricing for Demand Response Considering Market Price Uncertainty”, Energies, vol. 10, no. 9, August 2017 DOI
Gabriel Villarrubia, Juan Paz, Daniel de La Iglesia, Javier Bajo, “Combining Multi-Agent Systems and Wireless Sensor Networks for Monitoring Crop Irrigation”, Sensors, vol. 17, nº. 8, July 2017 DOI
Óscar García, Javier Prieto, Ricardo Alonso, Juan Corchado, “A Framework to Improve Energy Efficient Behaviour at Home through Activity and Context Monitoring”, Sensors, vol. 17, no. 8, 2017 DOI
João Soares, Bruno Canizes, Ali Fotouhi, Zita Vale, Kumar Venayagamoorthy, “Two-stage Stochastic Model using Benders' Decomposition for Large-scale Energy Resources Management in Smart grids”, IEEE Transactions on Industry Applications, vol. 53, no. 6, July 2017 DOI
Ricardo Faia, Tiago Pinto, Zita Vale, Juan Corchado, “An Ad-Hoc Initial Solution Heuristic for Metaheuristic Optimization of Energy Market Participation Portfolios”, Energies, vol. 10, no. 7, June 2017 DOI
Ali Fotouhi, Joao Soares, Omid Abrishambaf, Rui Castro, Zita Vale, “Demand response implementation in smart households”, Energy and Buildings, vol.143, May 2017 DOI
Óscar García, Ricardo Alonso, Javier Prieto, Juan Corchado, “Energy Efficiency in Public Buildings through Context-Aware Social Computing DOI
Pablo Chamoso, Juan Paz, Fernando Prieta, Javier Pérez, “Agreement technologies applied to transmission towers maintenance”, AI Commun. vol. 30, no. 1, pp. 83-98, 2017 DOI
Joao Soares, Ali Fotouhi, Nuno Borges, Zita Vale, “Dynamic electricity pricing for electric vehicles using stochastic programming”, Energy, Volume 112, pp. 111-127, March 2017 DOI
Joao Soares, Ali Fotouhi, Nuno Borges, Zita Vale, “A stochastic model for energy resources management considering demand response in smart grids”, Electric Power Systems Research, Volume 143, pp. 599-610, February 2017 DOI
Francisco Silva, Gabriel Santos, Isabel Praça, Zita Vale, “A context-based building security alarm through power and sensors analysis”, Energy Informatics, Oldenburg, Germany, October 2018 DOI
Fernando Lezama, Joao Soares, Zita Vale, “A platform for testing the performance of metaheuristics solving the energy resource management problem in smart grids”, Energy Informatics, Oldenburg, Germany, October 2018 DOI
Amin Gazafroudi, Francisco Castrillo, Tiago Pinto, Juan Corchado, “Energy Flexibility Management in Power Distribution Systems: Decentralized Approach”, SEST 2018, Sevilla, Spain, September 2018 DOI
Mahoor Ebrahimi, Amin Gazafroudi, Juan Corchado, Mahan Ebrahimi, “Energy Management of Smart Home Considering Residences’ Satisfaction and PHEV”, SEST 2018, Sevilla, Spain, September 2018 DOI
Angelo Pinto, Tiago Pinto, Francisco Silva, Isabel Praça, Zita Vale, Juan Corchado, “Automated combination of bilateral energy contracts negotiation tactics”, PESGM 2018, Portland, OR, USA, 5-9 August, 2018 DOI
Ricardo Faia, Tiago Pinto, Zita Vale, Juan Corchado, “Case-based reasoning using expert systems to determine electricity reduction in residential buildings“, PESGM 2018, Portland, OR, USA, 5-9 August, 2018 DOI
Tofael Ahmed, Pedro Faria, Omid Abrishambaf, Zita Vale, “Electric Water Heater Modelling for Direct Load Control Demand Response”, INDIN 2018, Porto, Portugal, 18-20 July, 2018 DOI
Mahsa Khorram, Pedro Faria, Zita Vale, “Optimization-Based Home Energy Management System Under Different Electricity Pricing Schemes”, INDIN 2018, Porto, Portugal, 18-20 July, 2018 DOI
Omid Abrishambaf, Pedro Faria, Zita Vale, “SCADA Office Building Implementation in the Context of an Aggregator”, INDIN 2018, Porto, Portugal, 18-20 July, 2018 DOI
Fernando Lezama, Joao Soares, Zita Vale, Ricardo Faia, Tiago Pinto, “A New Hybrid-Adaptive Differential Evolution for a Smart Grid Application Under Uncertainty”, IEEE CEC 2018, Rio de Janeiro, Brazil, 08-13 July, 2018 DOI
Aria Jozi, Tiago Pinto, Isabel Praça, Zita Vale and Joao Soares, “Day ahead electricity consumption forecasting with MOGUL learning model”, IJCNN 2018, Rio de Janeiro, Brazil, 08-13 July, 2018 DOI
Ricardo Faia, Fernando Lezama, Tiago Pinto, Joao Soares, Zita Vale, Juan Corchado, “Differential Evolution Application in Portfolio Optimization for Electricity Markets”, IJCNN 2018, Rio de Janeiro, Brazil, 08-13 July, 2018 DOI
Brígida Teixeira, Francisco Silva, Tiago Pinto, Gabriel Santos, Isabel Praça, Zita Vale, “Demonstration of Tools Control Center for Multi-agent Energy Systems Simulation”, Practical Applications of Agents and Multi-Agent System (PAAMS), pp. 353-356, vol. 10978, 2018 DOI
Jaime Fernandez, Tiago Pinto, Francisco Silva, Isabel Praça, Zita Vale, Juan Corchado, “Reputation Computational Model to Support Electricity Market Players Energy Contracts Negotiation”, Practical Applications of Agents and Multi-Agent System (PAAMS), pp. 125-133, vol. 887, 2018 DOI
Francisco Silva, Ricardo Faia, Tiago Pinto, Isabel Praça, Zita Vale, “Optimizing Opponents Selection in Bilateral Contracts Negotiation with Particle Swarm”, Practical Applications of Agents and Multi-Agent System (PAAMS), pp. 116-124, vol. 887, 2018 DOI
Ricardo Faia, Tiago Pinto, Zita Vale, Juan Corchado, “Optimization of Multiple Electricity Markets Participation Using Evolutionary PSO”, T&D, Denver, USA, 2018 DOI
Jaime Rodríguez-Fernández, Tiago Pinto, Francisco Silva, Isabel Praça, Zita Vale, Juan Corchado, “Bilateral Contract Prices Estimation using a Q-Learning based approach”, IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA, 27 November 1 December, 2017 DOI
Ricardo Faia, Tiago Pinto, Zita Vale, Juan Corchado, “Hybrid Particle Swarm Optimization of Electricity Market Participation Portfolio”, IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA, 27 November 1 December, 2017 DOI
Tiago Pinto, Amin Gazafroudi, Francisco Castrillo, Gabriel Santos, Francisco Silva, Juan Corchado, Zita Vale, “Reserve Costs Allocation Model for Energy and Reserve Market Simulation”, 19th International Conference on Intelligent System Application to Power Systems (ISAP), San Antonio, TX, USA, 17-20 September, 2017 DOI
Gabriel Santos, Tiago Pinto, Isabel Praça, Zita Vale, “EPEX Ontology: Enhancing Agent-based Electricity Market Simulation”, 19th International Conference on Intelligent System Application to Power Systems (ISAP), San Antonio, TX, USA, 17-20 September, 2017 DOI
Gabriel Santos, Tiago Pinto, Isabel Praça, Zita Vale, “Nord Pool Ontology to Enhance Electricity Markets Simulation in MASCEM”, EPIA, pp. 283-294, 2017 DOI
Maria Navarro, Amin Gazafroudi, Francisco Prieto-Castillo, Kumar Venayagamoorthy, “Application of Artificial Immune System to Domestic Energy Management Problem”, IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB), Salamanca, Spain, 12-15 September, 2017 DOI
Amin Gazafroudi, Tiago Pinto, Francisco Castrillo, Juan Corchado, Omid Abrishambaf, Aria Jozi, Zita Vale, “Energy flexibility assessment of a multi agent-based smart home energy system”, IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB), Salamanca, Spain, 12-15 September, 2017 DOI
Reza Bajool, Miadreza Shafie-khah, Amin Gazafroudi, João Catalão, “Mitigation of active and reactive demand response mismatches through reactive power control considering static load modeling in distribution grids”, IEEE Conference on Control Technology and Applications (CCTA), Mauna Lani, HI, USA, 27-30 August 2017 DOI
Fernando Lezama, João Soares, Zita Vale, Jose Rueda, Sergio Rivera, István Elrich, “2017 IEEE competition on modern heuristic optimizers for smart grid operation: Testbeds and results”, Swarm and Evolutionary Computation, May 2018 DOI
Brígida Teixeira, Francisco Silva, Tiago Pinto, Gabriel Santos, Isabel Praça, Zita Vale, “TOOCC: Enabling Heterogeneous Systems Interoperability in the Study of Energy Systems”, IEEE Power & Energy Society General Meeting (PESGM), Chicago, IL, USA, 16-20 July, 2017 DOI
Fernando Lezama, João Soares, Enrique Munoz de Cote, Luis Enrique Sucar, Zita Vale, “Differential evolution strategies for large-scale energy resource management in smart grids”, The Genetic and Evolutionary Computation Conference (GECCO), Berlin, Germany, 15-19 July, 2017 DOI
Omid Abrishambaf, Pedro Faria, Zita Vale, “Real-Time Implementation of Demand Response Programs Based on Open ADR Technology”, Practical Applications of Agents and Multi-Agent System (PAAMS), pp. 345-347, Porto, Portugal, 2017 DOI
Amin Gazafroudi, Francisco Castrillo, Tiago Pinto, Aria Jozi, Zita Vale, “Economic Evaluation of Predictive Dispatch Model in MAS-Based Smart Home”, Practical Applications of Agents and Multi-Agent System (PAAMS), pp. 81-91, Porto, Portugal, 2017 DOI
Ricardo Faia, Tiago Pinto, Zita Vale, “Initial Solution Heuristic for Portfolio Optimization of Electricity Markets Participation”, Practical Applications of Agents and Multi-Agent System (PAAMS), pp. 130-142, Porto, Portugal, 2017 DOI
Bruno Canizes, Tiago Pinto, João Soares, Zita Vale, Pablo Chamoso, Daniel Santos, “Smart City: A GECAD-BISITE Energy Management Case Study”, Practical Applications of Agents and Multi-Agent System (PAAMS), pp. 92-100, Porto, Portugal, 2017 DOI
Eugénia Vinagre, Gil Pinheiro, Zita Vale, Carlos Ramos, “Smart Grids Data Management: A Case for Cassandra”, Distributed Computing and Artificial Intelligence, 14th International Conference, pp. 87-95, Porto, Portugal, 2017 DOI
Amin Gazafroudi, Juan Paz, Francisco Castrillo, Gabriel Villarrubia, Saber Talari, Miadreza Shafie-khah, João Catalão, “A Review of Multi-agent Based Energy Management Systems”, International Symposium on Ambient Intelligence (ISAmI), pp. 203-209, 2017 DOI
Francisco Silva, Brígida Teixeira, Tiago Pinto, Isabel Praça, Goreti Marreiros, Zita Vale, “Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets”, International Symposium on Ambient Intelligence (ISAmI), pp. 159-166, 2017 DOI
Jorge Herrero, Álvaro Murciego, Alberto Barriuso, Daniel de la Iglesia, Rita Carreira, Gabriel Villarrubia, Juan Corchado, “Non Intrusive Load Monitoring (NILM): a state of the art”, Practical Applications of Agents and Multi-Agent System (PAAMS), 2017 DOI
Daniel de la Iglesia, Alberto Barriuso, Álvaro Murciego, Jorge Herrero, Jorge Landeck, Juan Paz, Juan Corchado, “Single appliance automatic recognition: comparison of classifiers”, Practical Applications of Agents and Multi-Agent System (PAAMS), 2017 DOI
Amin Gazafroudi, Francisco Castrillo, Tiago Pinto, Juan Corchado, Aria Jozi, Zita Vale, “Economic Evaluation of Predictive Dispatch Model in MAS-Based Smart Home”, Practical Applications of Agents and Multi-Agent System (PAAMS), 2017 DOI
Amin Gazafroudi, Tiago Pinto, Francisco Castrillo, Javier Prieto, Juan Corchado, “Organization-based Multi-Agent Structure of the Smart Home Electricity System”, IEEE Congress on Evolutionary Computation (CEC), San Sebastián, Spain, 2017 DOI
Amin Gazafroudi, Francisco Castrillo, Juan Corchado, “Residential Energy Management Using a Novel Interval Optimization Method”, 4th International Conference on Control, Decision and Information Technologies (CoDIT), Barcelona, Spain, pp. 196-201, 5-7 April, 2017 DOI
Amin Gazafroudi, Miadreza Shafie-khah, Desta Fitiwi, Sérgio Santos, Juan Corchado, João Catalão, “Impact of Strategic Behaviors of the Electricity Consumers on Power System Reliability”, Sustainable Interdependent Networks II, vol. 186, December 2018 DOI
Bruno Canizes, João Soares, Ali Ghazvini, Cátia Silva, Zita Vale, Juan Corchado, “Long-Term Smart Grid Planning Under Uncertainty Considering Reliability Indexes”, Operation, Planning, and Analysis of Energy Storage Systems in Smart Energy Hubs, pp. 297-335, April 2018 DOI
Tiago Pinto, Zita Vale, Isabel Praça, Luis Gomes, Pedro Faria, “Multi-agent Electricity Markets and Smart Grids Simulation with Connection to Real Physical Resources”, pp. 305-327, Studies in Systems, Decision and Control, vol. 144, February 2018 DOI
Fernando Prieta, Zita Vale, Luis Antunes, Tiago Pinto, Andrew Campbell, Vicent Julian, António Neves, Maria Moreno, “Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference”, Practical Applications of Agents and Multi-Agent System (PAAMS), 2017 DOI
Francisco Silva, Brigida Teixeira, Tiago Pinto, Gabriel Santos, Zita Vale, Isabel Praça, “Generation of realistic scenarios for multi-agent simulation of electricity markets”, Energy, Volume 116, Part 1, pp. 128-139, December 2016 DOI
Gabriel Santos, Tiago Pinto, Isabel Praça, Zita Vale, “An interoperable approach for energy systems simulation: electricity market participation ontologies”, Energies, Volume 9, Issue 11, October 2016 DOI
Joao Soares, Nuno Borges, Zita Vale, P.B. de Moura Oliveira, “Enhanced Multi-Objective Energy Optimization by a Signaling Method”, Energies, Volume 9, Issue 10, October 2016 DOI
Ricardo Faia, Tiago Pinto, Zita Vale, “Dynamic Fuzzy Clustering Method for Decision Support in Electricity Markets Negotiation”, Advances in Distributed Computing and Artificial Intelligence Journal, The PAAMS Collection, Volume 5, N. 1, 2016 DOI
Pablo Chamoso, Fernando Prieta, Javier Bajo Pérez, Juan Corchado Rodríguez, “Conflict Resolution with Agents in Smart Cities”, Interdisciplinary Perspectives on Contemporary Conflict Resolution, vol. 14, pp. 189-226, 2016 DOI
Tiago Pinto, Tiago M. Sousa, Hugo Morais, Isabel Praça, Zita Vale, “Metalearning to Support Competitive Electricity Market Players' Strategic Bidding”, Electric Power Systems Research, June 2016 DOI
Pedro Faria, João Spínola, Zita Vale, “Aggregation and Remuneration of Electricity Consumers and Producers for the Definition of Demand Response Programs”, IEEE Transactions on Industrial Informatics, 2016 DOI
Fernando Prieta, María Escalona, Rafael Corchuelo, Philippe Mathieu, Zita Vale, Andrew Campbell, Silvia Rossi, Emmanuel Adam, María Jiménez-López, Elena Navarro, Maria Moreno, “Trends in Practical Applications of Scalable Multi-Agent Systems”, The PAAMS Collection, 2016 DOI
Óscar García, Ricardo Alonso, Dante I. Tapia, Juan Corchado, “Electrical power consumption monitoring in hotels using the n-Core Platform”, PSC 2016, Clemson, US, 8-11 March, 2016 DOI
Valerian Guivarch, Juan Paz, Gabriel Villarrubia, Javier Bajo, Andre Péninou, Valerie Camps, “Hybrid system to analyze user's behavior”, CIASG 2016, Athens, Greece,6-9 December, 2016 DOI
Óscar Garcia, Ricardo Alonso, Fabio Guevara, Juan Paz, Gabriel Villarrubia, Juan Corchado, Omid Abrishambaf, Zita Vale, “Use of context-aware Social Computing to improve energy efficiency in public buildings”, CIASG 2016, Athens, Greece,6-9 December, 2016 DOI
Joao Spínola, Pedro Faria, Zita Vale, “Aggregation Validation Approach for the Management of Resources in a Smart Grid”, CIASG 2016 – CIASG 2016, Athens, Greece,6-9 December, 2016 DOI
Ricardo Faia, Tiago Pinto, Zita Vale, “GA Optimization Technique for Portfolio Optimization of Electricity Market Participation”, CIASG 2016, Athens, Greece,6-9 December, 2016 DOI
Gabriel Santos, Filipe Fernandes, Tiago Pinto, Marco Silva, Omid Abrishambaf, Hugo Morais, Zita Vale, “House Management System with Real and Virtual Resources: Energy Efficiency in Residential Microgrid”, GIIS 2016 – Global Information Infrastructure and Networking Symposium, Porto, Portugal, 19-21 October, 2016 DOI
Omid Abrishambaf, Ali Ghazvini, Luis Gomes, Pedro Faria, Zita Vale, Juan Corchado, “Application of a Home Energy Management System for Incentive-Based Demand Response Program Implementation”, DEXA 2016 – 27th International Conference on Database and Expert Systems Applications, Porto, Portugal, 05-08 September, 2016 DOI
Ricardo Faia, Tiago Pinto, Zita Vale, “Portfolio Optimization for Electricity Market Participation with NPSO-LRS”, DEXA 2016 – 27th International Conference on Database and Expert Systems Applications, Porto, Portugal, 05-08 September, 2016 DOI
Ali Fotouhi, Sergio Ramos, João Soares, Zita Vale, Rui Castro, “Toward Retail Competition in the Portuguese Electricity Market”, EEM 16 – 13th International Conference on the European Electricity Market, Porto, Portugal, 06-09 June, 2016 DOI
Diogo Boldt, Pedro Faria, Zita Vale, “Integration of Pumping in Virtual Power Players Management Considering Demand Response”, EEM 16 – 13th International Conference on the European Electricity Market, Porto, Portugal, 06-09 June, 2016 DOI
Pablo Chamoso, Juan Paz, Javier Bajo, Gabriel Villarrubia, “Intelligent control of energy distribution networks”, PAAMS 2016 DOI
Pablo Chamoso, Juan Paz, Sara Rodríguez, Javier Bajo, “Smart Cities Simulation Environment for Intelligent Algorithms Evaluation”, ISAMI, 2016 DOI
Ricardo Faia, Tiago Pinto, Zita Vale, “Optimization of Electricity Markets Participation with Simulated Annealing”, Practical Applications of Agents and Multi-Agent Systems (PAAMS 2016), 2016 DOI
Tiago Pinto, Zita Vale, Isabel Praça, Gabriel Santos, “Demonstration of ALBidS: Adaptive Learning Strategic Bidding System”, Practical Applications of Agents and Multi-Agent Systems (PAAMS 2016), 2016 DOI
Filipe Fernandes, Luis Gomes, Hugo Morais, Marco Silva, Zita Vale, Juan Corchado, “Dynamic Energy Management method with Demand Response interaction applied in an Office Building”, Practical Applications of Agents and Multi-Agent Systems. (PAAMS 2016), 2016 DOI
Gabriel Santos, Tiago Pinto, Zita Vale, Isabel Praça, Hugo Morais, “"Electricity Markets Ontology to Support MASCEM’s Simulations”, PAAMS, Communications in Computer and Information Science, vol. 616, pp. 393-404, 2016 DOI
Omid Abrishambaf, Luis Gomes, Pedro Faria, Zita Vale, Joao L. Afonso, “Real-Time Simulation of Renewable Energy Transactions in Microgrid Context Using Real Hardware Resources”, IEEE Transmission and Distribution conference 2016, Dallas, Texas, USA, May 2016 DOI
Fábio Pereira, João Soares, Pedro Faria, Zita Vale, “Allocation of Fixed Costs Considering Distributed Generation and Distinct Approaches of Demand Response Remuneration in Distribution Networks”, PSC 2016, Clemson, USA, 08-11 March, 2016 DOI
João Soares, Bruno Canizes, Zita Vale, Kumar Venayagamoorthy, “Benders' decomposition applied to Energy Resource Management in smart distribution networks”, PSC 2016, Clemson, USA, 08-11 March, 2016 DOI
Luis Gomes, Jorge Silva, Pedro Faria, Zita Vale, “Microgrid Demonstration Gateway for Players Communication and Load Monitoring and Management”, PSC 2016, Clemson, USA, 08-11 March, 2016 DOI
João Spínola, Pedro Faria, Zita Vale, "Economic Impact of Demand Response in the Scheduling of Distributed Energy Resources", CIASG 2015, Cape Town, South Africa, 08-10 December, 2015 DOI
Diogo Boldt, Pedro Faria, Zita Vale, "Demand Response Shifting Management Applied to Distributed Generation and Pumping", CIASG 2015 - IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) at the IEEE SSCI 2015 (IEEE Symposium Series on Computational Intelligence), Cape Town, South Africa DOI
Fabio Pereira, João Soares, Pedro Faria, Zita Vale, "Quantum Particle Swarm Optimization Applied to Distinct Remuneration Approaches in Demand Response Programs", CIASG 2015, Cape Town, South Africa, 08-10 December, 2015 DOI
Fernando Prieta, María Escalona, Rafael Corchuelo, Philippe Mathieu, Zita Vale, Andrew Campbell, Silvia Rossi, Emmanuel Adam, María Jiménez-López, Elena Navarro, Maria Moreno, “Trends in Practical Applications of Scalable Multi-Agent Systems”, The PAAMS Collection, 2016 DOI
Evolutionary Computation for Complex Optimization in the Energy Domain, IEEE World Congress on Computational Intelligence 2018 Link
Advances in Distributed Computing and Artificial Intelligence Journal Special Issue on Demand Response and RenewableEnergy Sources in Smart Grids. Link
Optimizing the use of Distributed Energy Resources in Smart Grids with Effective Demand Response, India, 18-21 November, 2018. Link Pdf
"Catching Consumers and Distributed Generation Flexibility to Improve Demand Response", 2018 IEEE Power & Energy Society T&D Conference Link
"Agent-based modeling for smart grids and M2M applications", 2017 IEEE Symposium on Computational Intelligence Applications in Smart Grid (IEEE CIASG’17) Pdf
"Intelligent management of micro grids and buildings", 2017 IEEE Symposium on Computational Intelligence Applications in Smart Grid (IEEE CIASG’17) Pdf
"Artificial Intelligence in Power and Energy Systems", AIPES, 18th EPIA Conference on Artificial Intelligence, EPIA 2017 Read More
"Intelligent management of micro grids and buildings", 2016 IEEE Symposium on Computational Intelligence Applications in Smart Grid (IEEE CIASG’16) Pdf Read More
“Advances on Demand Response and Renewable Energy Sources in Agent Based Smart Grids”, 14th Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2016), Sevilla, Spain, 1st-3rd June, 2016. Programme PPT_GECAD Read More
“Value of demand response and enabling effective consumer active participation in smart grids”, 2016 Clemson University Power Systems Conference PSC16) Madren Conference Center, Clemson University, Clemson, SC, USA, 8th-11th March, 2016
The 6th International Conference on Security-enriched Urban Computing and Smart Grids (SUComS 2015), ISEP/IPP, Porto, Portugal Read More
Demand response approaches for real-time renewable energy integration.
Proceedings
Demand response approaches for real-time renewable energy integration.
Agenda
Intelligent load management in local and wholesale demand response markets.
Deliverable D7.3 - Proceedings
Intelligent load management in local and wholesale demand response markets.
Agenda
Real-Time Demand Response and Intelligent Direct Load Control
Deliverable D7.3 - Proceedings
Simulation of consumers and markets towards real time demand response Deliverable D7.2 - Proceedings
Simulation of consumers and markets towards real time demand response
Agenda
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Demand Response helps fulfil the Smart Grid potential | Result In Brief | CORDIS | European Commission https://europa.eu/!Ph76Nr @CORDIS_EU
The registration is free and mandatory through the link: https://europa.eu/!Ph76Nr@CORDIS_EU
DREAM-GO Horizon 2020 project is announcing its final workshop, to take place on January 16th and 17th, 2019, in ISEP, Porto.
DREAM-GO invites everyone interested to join its Workshop on “Demand response approaches for real-time renewable energy integration” that puts together research, academia, and industry from different countries. Check the program of the workshop here.
The registration is free and mandatory through the link: https://goo.gl/forms/x62gpB9J6ACpxOaE3
DREAM-GO wishes you a very Happy 2019 and looks forward to receiving your registration and to meeting you in Porto, on January 16th.
The demo paper entitled “Demonstration of Tools Control Center for Multi-Agent Energy Systems Simulation” has been awarded with IBM Award of Scientific Excellence, the 3rd Prize to the Best Demonstration presented during the 16th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2018).
This work has been developed in the scope of DREAM-GO project by ISEP/GECAD (Portugal) and with contribution of University of Salamanca/BISITE (Spain). This tool enables the interoperability and co-simulation between heterogeneous systems which are design to solve specific problems in energy systems. In this way, those systems cooperate to deal with more complex models.
One of the main areas of Tools Control Center framework, also known as TOOCC, is the demand response. TOOCC allows the configuration and simulation of demand response programs and models, based on the definition of a set of characteristics, including the participating entities (e.g.: consumers, producers, ISOs, aggregators, BRP, energy communities, etc.), demand response contracts and consumer remuneration methodologies.
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ISEP/GECAD from Polytechnic of Porto will participate in the upcoming 2018 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2018) between 18-21 November 2018 in Bengaluru, India.
SSCI is a flagship annual international conference sponsored by the IEEE Computational Intelligence Society (CIS) promoting all aspects of computational intelligence (CI). SSCI attracts leaders from industry, students, researchers and other academics.
ISEP/GECAD will present 4 scientific papers at this venue resulting from the fruitful and recent developments of DREAM-GO project (MSCA-RISE H2020 641794).
The works to be presented include:
- The development of an algorithm that is efficient for portfolio optimization and to handle risk in electricity markets;
- A model and algorithm for flexibility load management in residential houses. This algorithm aims to be scalable and manage hundreds of home customers’ appliances providing benefits for the grid and end-users;
- A modern CI algorithm to forecast load demand in office buildings that mitigates computational burden and achieves competitive results as other methods;
- Our last work will present an optimization model for the lighting system of an office building. Some comparisons are presented as well as the energy savings obtained.
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DREAM-GO participates in Clemson University Power Systems Conference (PSC 2018), Charleston, 4-7 September, 2018.
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The tutorial on "Big Data Analytics: Future of Smart Grid" has taken place as part of the 2018 Clemson University Power Systems Conference (PSC 2018), held in September 4th-7th, 2018, in Charleston, South Carolina. The sixteenth PSC conference has put together research, faculty, and industry players discussing "Smart Grid Technologies and Innovation", with the presence/support of several IEEE societies, and many industries http://psc.rtpis.org.
The tutorial on "Big Data Analytics: Future of Smart Grid" was organized on Tuesday, September 4th, by Dr. G. Kumar Venayagamoorthy, from Clemson University, US, and Dr. Zita Vale, from the Polytechnic of Porto, Portugal. These two scientists, members of DREAM-GO team, and Dr. João Soares, also a DREAM-GO researcher, addressed a set of topics, related to DREAM-GO project, namely energy forecasting, demand response management, renewable energy sources, customer operations, and cybersecurity.
The 2018 IEEE Power and Energy Society General Meeting was a very relevant forum for the power and energy professionals and scientists, “Re-imagining the Electric Grid” in the first week of August, in Portland.
Zita Vale organized a panel session, on Thursday, August 9, titled “Intelligent buildings in a smart grid context: IoT and transactive energy applications”, with a set of experts from companies/universities, namely AIT Austrian Institute of Technology, Eindhoven University of Technology, Paris Saclay University, CEA/INES, PcVue, and Airbus.
Pedro Faria presented DREAM-GO results in a talk titled “Intelligent M2M grids handling in buildings in a smart grid context”
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DREAM-GO participated in EuroScience Open Forum (ESOF 2018), in Toulouse, 9-14 July, 2018.
The DREAM-GO results have been more specifically disseminated in the panel session titled "Look around: tomorrows smart cities are being planned and delivered today".
The project results captured a great attention from the audience concerning both demand response and real-time simulation topics, and the experience within the project with United States. DREAM-GO researchers also made part of the "meet our scientists" event where the community was able to speak with us.
ESOF webpage
DREAM-GO Presentation
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DREAM-GO participated in the First Workshop on Enabling Energy Internet via Machine-type Wireless Communications. Prof. Zita Vale introduced the research done by her group GECAD. She provided an answer to how “new markets” would be in the future, where sharing or peer-to-peer exchanges will become more dominant than buying/selling. She discussed different simulation platforms they have developed in different European projects including DREAM-GO, from energy management in buildings to the wholesale market multi-agent simulator. They can work in real-time and with hardware.
A future event is expected and GECAD has been invited to be part of future activities like organizing a second version of this workshop and a special call in some IEEE journal (like IEEE Access, IoT Journal or relevant transactions/magazines). Check out more at puting (PSC 2018), Cyprus, 19-21 September, 2018.
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Distributed Energy Resources Management 2018. Please click the following link to check if all the information.
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Distributed Energy Resources Management 2018. Please click the following link to check if all the information.
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Advances in Distributed Computing and Artificial Intelligence Journal Special Issue on Demand Response and Renewable Energy Sources in Smart Grids.
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Optimizing the use of Distributed Energy Resources in Smart Grids with Effective Demand Response, Bengaluru, India, 18-21 November, 2018.
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Intelligent load management in local and wholesale demand response markets, Porto, Portugal, 23-24 January, 2018.
2017 IEEE Symposium on Computational Intelligence Applications in Smart Grid (IEEE CIASG'17), Hawaii, USA, 27th November to 1st December, 2017.
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The publication of these data is being made in the scope of the IEEE Working Group (WG) on Intelligent Data Mining and Analysis (Link). The public data sets are permanently available (Link)
EPIA is a well-established international conference on Artificial Intelligence, supported by Portuguese Association for Artificial Intelligence (APPIA), Porto, Portugal, 5th-8th September, 2017.
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Research on Agents and Multi-Agent Systems has matured during the last decade and many effective applications of this technology are now deployed. Practical Applications of Agents and Multi-Agent Systems (PAAMS 2017), Porto, Portugal, 21st-23rd June, 2017.
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“Intelligent management of micro grids and buildings”, IEEE Symposium on Computational Intelligence Applications in Smart Grid (IEEE CIASG'16), Athens, Greece, 6th-9th December, 2016.
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“Enabling Demand Response for short and real-time efficient management of smart grids: A multi-agent based approach”, 14th Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2016), Sevilla, Spain, 1st-3rd June, 2016.
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IEEE SSCI CIASG Computational Intelligence Applications in Smart Grid - Special Session on Intelligent Management of Micro Grids and Buildings
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The Global Information Infrastructure and Networking Symposium (GIIS) consists of an interrelated set of technical, policy, and social issues implicit in the development of national and international information infrastructures and networks.
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DREAM-GO built scenarios and conclusions about the undertaken experimental tests Pdf
Clipping of online and offline news and activity Pdf
Proceedings of the Fourth DREAM-GO Workshop Pdf
Final DREAM-GO publication list Pdf
Direct Load Control in the Scope of Short and Real-Time Demand Response Pdf
Demand Response Registration Digital (D2RD) framework for DR programs models, including the short and real-time DR models conceived and developed in the scope of DREAM-GO. Pdf
Identified Short and Real-Time Demand Response Opportunities and the Corresponding Requirements and Concise Systematization of the Conceived and Developed DR Programs. Pdf
Seminars of the 3rd year DREAM-GO - Intelligent load management in local and wholesale demand response markets Pdf
Identified Short and Real-Time Demand Response Opportunities and the Corresponding Requirements and Concise Systematization of the Conceived and Developed DR Programs
Seminars of the 1st year DREAM-GO - Simulation of consumers and markets towards real time demand response Pdf
Seminars of the 4th year DREAM-GO Pdf
Components and Resource Models and Optimization Algorithms for Smart Grid Operation Considering Uncertainties and Short and Real-time DR Pdf
Intelligent load management in local and wholesale demand response markets Pdf
Real-Time Demand Response and Intelligent Direct Load Control Pdf
Mid-term DREAM-GO publication list Pdf
Seminars of the 2nd year DREAM-GO - Simulation of consumers and markets towards real time demand response Pdf
Simulation of consumers and markets towards real time demand response Pdf
Demand Response Registration Digital (D2RD) framework for DR programs and models, including the short and real-time DR models conceived and developed in the scope of DREAM-GO – Mid-term release
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