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Countries

Involves 3 countries in Europe (Portugal, Spain, and Germany) and one academic partner in the US

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Already Seconded researchers

Includes 45 researchers actively involved in the project, from which 20 are Experienced Researchers (ER)

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Days

In this 4 years project, 4 workshops will be held, 3 in Europe and 1 in the US

Enabling demand response for short and real-time efficient and market-based smart grid operation. An intelligent and real-time simulation approach



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.



This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 641794.

Business models

Business models for short and real-time demand response in smart grids

Smart Grids

Models and methods to simulate and assess the use of short and real-time demand response in smart grids

Communications

Specifications of the communications, devices, and methods to enable direct load control

Who Are We? Meet Our Participating Organisations

The partners share a research, creativity and innovation culture, common field interests and complementary knowledge and skills.

GECAD

Research Center

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.

VPS

Company

Virtual Power Solutions (VPS) is an international company specialized in Telemetry and Remote Asset Management, and is a global leader in different market segments.

Bisite

Research Group

Its name derives from its main areas of research and project development: Bioinformatics, Intelligent Systems and Educational Technology.

Nebusens

Company

Devoted to the research, development and commercialization of innovative technological products related to Wireless Sensor Networks (WSN) and Real-Time Locating Systems (RTLS).

RTPIS

Research Foundation

The RTPIS is a smart grid technologies laboratory. It is composed of a microgrid lab, a power eletronics lab, a real-time grid simulation lab and a situational intelligence lab.

Discovergy

Company

Leading provider of Smart Metering technology and services. Discovergy’s engineering team has been hard at work to push the frontiers of consumer and industry metering.

Work Packages

Dissemination

Get the latest news

Papers | 2015 - 2016

  • Papers

Fernando de la Prieta, María J. Escalona, Rafael Corchuelo, Philippe Mathieu, Zita Vale, Andrew T. Campbell, Silvia Rossi, Emmanuel Adam, María Dolores Jiménez-López, Elena M. Navarro, Maria Moreno. Trends in Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection. 2016 Read More

P. Chamoso, F. de la Prieta, J.F. de Paz, J. Bajo, I. Arandia, "Agreement Technologies Applied to Transmission Towers Maintenance," Multi-Agent Systems and Agreement Technologies, pp. 172-187, January 2016 Read More

P. Chamoso, J.F. de Paz, J. Bajo, G. Villarrubia, "Agent-based tool to reduce the maintenance cost of energy distribution networks," Knowledge and Information Systems, 2016

V. Fusco, G.K. Venayagamoorthy, S. Squartini, F. Piazza, "Smart AMI based demand-response management in a micro-grid environment," Clemson University Power Systems Conference 2016 (PSC 2016), Madren Conference Center, Clemson, South Carolina, USA, 08-11 March, 2016 Read More

P. Herath, G.K. Venayagamoorthy, "A service provider model for demand response management", CIASG 2016 – IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) at the IEEE SSCI 2016 (IEEE Symposium Series on Computational Intelligence), Athens, Greece, 06-09 December, 2016 Read More

Pablo Chamoso, Juan F. De Paz, Javier Bajo, Gabriel Villarrubia, Intelligent control of energy distribution networks. PAAMS, 2016. Read More

Chamoso, P., De la Prieta, F., Bajo, J., & Corchado, J. M., Conflict Resolution with Agents in Smart Cities. Interdisciplinary Perspectives on Contemporary Conflict Resolution. Volumen 14, pp. 189-226. Read More

V. Guivarch, J. F. De Paz, G. Villarrubia, J. Bajo, A. Péninou and V. Camps, "Hybrid system to analyze user's behaviour", CIASG 2016 – IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) at the IEEE SSCI 2016 (IEEE Symposium Series on Computational Intelligence), Athens, Greece, 06-09 December, 2016 Read More

Pablo Chamoso, Juan F. De Paz, Sara Rodríguez, and Javier Bajo, Smart Cities Simulation Environment for Intelligent Algorithms Evaluation. ISAMI, 2016. Read More

Ó. Garcia, R.S. Alonso, F. Guevara, J.F. de Paz, G. Villarrubia, J.M. Corchado, O. Abrishambaf, Z. Vale, “Use of context-aware Social Computing to improve energy efficiency in public buildings”, CIASG 2016 – IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) at the IEEE SSCI 2016 (IEEE Symposium Series on Computational Intelligence), Athens, Greece, 06-09 December, 2016 Read More

J. Spínola, P. Faria, Z. Vale, “Aggregation Validation Approach for the Management of Resources in a Smart Grid”, CIASG 2016 – IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) at the IEEE SSCI 2016 (IEEE Symposium Series on Computational Intelligence), Athens, Greece, 06-09 December, 2016 Read More

E. Vinagre, J.F. De Paz, T. Pinto, Z. Vale, J.M. Corchado, O. Garcia, “Intelligent Energy Forecasting based on the Correlation between Solar Radiation and Consumption patterns”, CIASG 2016 – IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) at the IEEE SSCI 2016 (IEEE Symposium Series on Computational Intelligence), Athens, Greece, 06-09 December, 2016 Read More

R. Faia, T. Pinto, Z. Vale, “GA Optimization Technique for Portfolio Optimization of Electricity Market Participation”, CIASG 2016 – IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG) at the IEEE SSCI 2016 (IEEE Symposium Series on Computational Intelligence), Athens, Greece, 06-09 December, 2016 Read More

G. Santos, F. Fernandes, T. Pinto, M. Silva, O. Abrishambaf, H. Morais, Z. 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 Read More

O. Abrishambaf, M. Ali Fotouhi Ghazvini, L. Gomes, P. Faria, Z. Vale, J.M. 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 Read More

R. Faia, T. Pinto, Z. 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 Read More

R. Faia, T. Pinto, Z. 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 Read More

Ricardo Faia, Tiago Pinto, Zita Vale, Optimization of Electricity Markets Participation with Simulated Annealing, Practical Applications of Agents and Multi-Agent Systems (PAAMS) 2016 Read More

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 Read More

Filipe Fernandes, Luis Gomes, Hugo Morais, Marco Silva, Zita Vale, Juan M. Corchado, Dynamic Energy Management method with Demand Response interaction applied in an Office Building, Practical Applications of Agents and Multi-Agent Systems (PAAMS) 2016 Read More

Gabriel Santos, Tiago Pinto, Zita Vale, Isabel Praça, Hugo Morais, Electricity Markets Ontology to support MASCEM’s simulations, Practical Applications of Agents and Multi-Agent Systems (PAAMS) 2016 Read More

M. Ali Fotouhi Ghazvini, S. Ramos, Z. Vale, R. 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 Read More

D. Boldt, P. Faria, Z. 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

Oscar Garcia, Ricardo S. Alonso, Dante I. Tapia, Juan M. Corchado, Electrical Power Consumption Monitoring in hotels using the n-Core Platform, PSC 2016, Madren Conference Center, Clemson, South Carolina, USA, 08-11 March, 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, Clemson University Power Systems Conference 2016 (PSC 2016), Clemson, South Carolina, USA, 08-11 March, 2016 DOI

João Soares, Bruno Canizes, Zita Vale, G.K. Venayagamoorthy, Benders’ Decomposition Applied to Energy Resource Management in Smart Distribution Networks, PSC 2016, Clemson, South Carolina, 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, South Carolina, USA, 08-11 March, 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 Read More

F. Silva, B. Teixeira, T. Pinto, G. Santos, Z. Vale, I. Praça, “Generation of realistic scenarios for multi-agent simulation of electricity markets”, Energy, Volume 116, Part 1, pp. 128-139, December 2016 DOI

J. Soares, N. Borges, Z. Vale, P.B. de Moura Oliveira, “Enhanced Multi-Objective Energy Optimization by a Signaling Method”, Energies, Volume 9, Issue 10, October 2016 DOI

G. Santos, T. Pinto, I. Praça, Z. Vale, “An interoperable approach for energy systems simulation: electricity market participation ontologies”, Energies, Volume 9, Issue 11, October 2016 DOI

M. Rahmani-Andebili, G.K. Venayagamoorthy, SmartPark placement and operation for improving system reliability and market participation, Electric Power Systems Research, Volume 123, pp. 21-30, June 2015 DOI

M. Rahmani-Andebili, G.K. Venayagamoorthy, Investigating effects of charges in power market regulations on demand-side resources management, 2015 IEEE Power & Energy Society General Meeting, Denver, USA, 2015 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 Sousa, 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

  • Journals

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 Read More

Tiago Pinto, Tiago M. Sousa, Hugo Morais, Isabel Praça, Zita Vale, Metalearning to Support Competitive Electricity Market Players' Strategic Bidding, Electric Power Systems Research, 2016 Read More

Papers | 2017 - 2018

  • Papers

Óscar García, Ricardo S. Alonso, Javier Prieto and Juan M. Corchado, Energy Efficiency in Public Buildings through Context-Aware Social Computing. Sensors, MDPI. Vol. 17, Number 826. 2017

J. Herrero, A. Murciego, A. Barriuso, D.H. de la Iglesia, R. Carreira, G. Villarrubia, J.M. Corchado, “Non Intrusive Load Monitoring (NILM): a state of the art”, PAAMS’17 Conference, 2017

D.H. de la Iglesia, A. Barriuso, A. Murciego, J. Herrero, J. Landeck, J.F. de Paz, J.M. Corchado, “Single appliance automatic recognition: comparison of classifiers”, PAAMS’17 Conference, 2017

A.S. Gazafroudi, J.F. de Paz, F. Prieto-Castrillo, G. Villarrubia, J.M. Corchado, A. Talari, M. Shafie-khah, J.P.S. Catalão, “Review paper of Smart Energy Management Systems”, PAAMSISAMI’ 17 Conference, 2017

A.S. Gazafroudi, F. Prieto-Castrillo, T. Pinto, J.M. Corchado, A. Jozi, Z. Vale, “Model Predictive Dispatch in MAS-based Smart Home”, PAAMS’17 Conference, 2017

M. Ali Fotouhi Ghazvini, J. Soares, O. Abrishambaf, R. Castro, Z. Vale, “Demand response implementation in smart households”, Energy and Buildings, Available online March 2017 Read More

J. Soares, M. Ali Fotouhi Ghazvini, N. Borges, Z. Vale, “Dynamic electricity pricing for electric vehicles using stochastic programming”, Energy, Volume 112, pp. 111-127, March 2017 Doi

J. Soares, M. Ali Fotouhi Ghazvini, N. Borges, Z. 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


Intelligent management of micro grids and buildings

"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

“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'14), Sevilla, Spain, 1st-3rd June, 2016. Programme PPT_GECAD Read More

Value of demand response and enabling effective consumer active participation in smart grids

“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

The 6th International Conference on Security-enriched Urban Computing and Smart Grids (SUComS 2015), ISEP/IPP, Porto, Portugal Read More




2ndAnnual Workshop

  • 2017

Real-time demand response and intelligent direct load control. Coming soon! Agenda

Proceedings of the 1st DREAM-GO Workshop

  • 2016

Simulation of consumers and markets towards real time demand response Deliverable D7.2 - Proceedings



1stAnnual Workshop

  • 2016

Simulation of consumers and markets towards real time demand response Agenda , PPT_GECAD , PPT_USAL , PPT_NebusensS , PPT_Discovergy , PPT_Opal RT


Conference

  • 2017

“EPIA is a well-established international conference on Artificial Intelligence, supported by Portuguese Association for Artificial Intelligence (APPIA), Porto, Portugal, 5th-8th September, 2017. Link

Call for Papers

  • 2017

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'17), Porto, Portugal, 21st-23rd June, 2017. Pdf Read More

Call for Papers

  • 2016

“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. Pdf Read More

Keynote

  • 2016

“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'14), Sevilla, Spain, 1st-3rd June, 2016. PPT_GECAD

Call for Papers

  • 2016

IEEE SSCI CIASG Computational Intelligence Applications in Smart Grid - Special Session on Intelligent Management of Micro Grids and Buildings Read More

Call for Papers

  • 2016

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. Read More


Deliverables

Proceedings of the 2nd DREAM-GO Workshop - Deliverable 7.3

  • 2017

Real-Time Demand Response and Intelligent Direct Load Control Deliverable D7.3 - Proceedings



Proceedings of the 1st DREAM-GO Workshop - Deliverable 7.2

  • 2015

Simulation of consumers and markets towards real time demand response Deliverable D7.2 - Proceedings



Seminars of the 2nd year DREAM-GO - Deliverable 7.7

  • 2016

Simulation of consumers and markets towards real time demand response Deliverable D7.7



Seminars of the 1st year DREAM-GO - Deliverable 7.6

  • 2015

Simulation of consumers and markets towards real time demand response Deliverable D7.6



Deliverable 7.10

  • 2017

Mid-term DREAM-GO publication list Deliverable D7.10



Deliverable 2.2

  • 2015

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 Deliverable D2.2



Deliverable 2.1

  • 2017

Identified Short and Real-Time Demand Response Opportunities and the Corresponding Requirements and Concise Systematization of the Conceived and Developed DR Programs Deliverable D2.1



Data Sets

The publication of these data is being made in the scope of the IEEE Working Group (WG) on Intelligent Data Mining and Analysis (Link), Task Force (TF) on Open Data Set. The public data sets are permanently available (Link)

These data are intended to be used by researchers and other professionals working in power and energy related areas and requiring data for design, development, test, and validation purposes. These data should not be used for commercial purposes.
The public data sets are permanently available in http://sites.ieee.org/pes-iss/data-sets. Dissemination of this initiative is taking place so that the number and diversity of the published data sets increase over time and can be used as a valuable public resource for R&D activities. Your contribution for this initiate can be very important. Please disseminate and contribute; use our contact points (gecad@isep.ipp.pt ;zav@isep.ipp.pt) to have all the data that can be made public published in the website.
These data sets can be used in research and development activities and the obtained results can be published in scientific publications.

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We care about our future!

DREAM-GO will result in significant advances in the state of the art of the envisaged field and in the development of innovation. The partners have different backgrounds and the common interest of achieving the project goals.

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 641794.