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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 62 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

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Papers | 2017 - 2018

    Journals

J. Rodriguez-Fernandez, T. Pinto, F. Silva, I. Praça, Z. Vale, J. M. 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

Pedro Faria, João Spínola, Zita Vale, “Methods for Aggregation and Remuneration of Distributed Energy Resources”, Applied Sciences, vol. 8, no. 8, August 2018 DOI

F. Lezama, J. Soares, P. Hernandez-Leal, M. Kaisers, T. Pinto, Z. Vale, “Local Energy Markets: Paving the Path Towards Fully Transactive Energy Systems”, IEEE Transactions on Power Systems, July 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

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

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

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, 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

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, Volume 54, Issue 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

Ricardo Faia, Tiago Pinto, Omid Abrishambaf, Filipe Fernandes, Zita Vale, Juan Manuel 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 Shokri Gazafroudi, Francisco Prieto-Castrillo, Tiago Pinto, Javier Prieto, Juan Manuel Corchado and Javier Bajo, “Energy Flexibility Management Based on Predictive Dispatch Model of Domestic Energy Management System”, Energies DOI

Mohammad Ali Fotouhi 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

Óscar García, Javier PrietoOrcID, Ricardo S. Alonso and Juan M. Corchado, “A Framework to Improve Energy Efficient Behaviour at Home through Activity and Context Monitoring”, Sensors 2017, 17(8), DOI

João Soares, Bruno Canizes, M. Ali Fotouhi Gazvhini, Zita Vale, G. K. 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 Manuel Corchado, “An Ad-Hoc Initial Solution Heuristic for Metaheuristic Optimization of Energy Market Participation Portfolios”, Energies, vol. 10, no. 7, June 2017 DOI

M. Ali Fotouhi Ghazvini, J. Soares, O. Abrishambaf, R. Castro, Z. Vale, “Demand response implementation in smart households”, Energy and Buildings, May 2017 DOI

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

    Conferences

[CI-536] Ricardo Faia, Tiago Pinto, Zita Vale, Juan Manuel Corchado, “Optimization of Multiple Electricity Markets Participation Using Evolutionary PSO”, T&D, Denver, USA, 2018 Link

Bruno Canizes, João Soares, Mohammad Ali Fotouhi Ghazvini, Cátia Silva, Zita Vale, Juan M. 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, 2018 DOI

Ricardo Faia, Tiago Pinto, Zita Vale, Juan Manuel Corchado, “Hybrid Particle Swarm Optimization of Electricity Market Participation Portfolio”, SSCI 2017 DOI

Tiago Pinto, Amin Shokri Gazafroudi, Francisco Prieto-Castrillo, Gabriel Santos, Francisco Silva, Juan Manuel Corchado, Zita Vale, “Reserve Costs Allocation Model for Energy and Reserve Market Simulation”, ISAP 2017 DOI

Gabriel Santos, Tiago Pinto, Isabel Praça, and Zita Vale, “EPEX Ontology: Enhancing Agent-based Electricity Market Simulation”, ISAP 2017 DOI

Gabriel Santos, Tiago Pinto, Isabel Praça, Zita Vale, “Nord Pool Ontology to Enhance Electricity Markets Simulation in MASCEM”, EPIA 2017 DOI

Amin Shokri Gazafroudi, Tiago Pinto, Francisco Prieto-Castrillo, Juan Manuel Corchado, Omid Abrishambaf, Aria Jozi, Zita Vale, “Energy flexibility assessment of a multi agent-based smart home energy system”, ICUWB 2017 Read More

Brígida Teixeira, Francisco Silva, Tiago Pinto, Gabriel Santos, Isabel Praça, Zita Vale, “TOOCC: Enabling Heterogeneous Systems Interoperability in the Study of Energy Systems”, PESGM 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”, GECCO 2017 DOI

Omid Abrishambaf, Pedro Faria, Zita Vale, “Real-Time Implementation of Demand Response Programs Based on Open ADR Technology”, PAAMS, pp. 345-347, Porto, Portugal, 2017 DOI

Amin Shokri Gazafroudi, Francisco Prieto-Castrillo, Tiago Pinto, Aria Jozi, Zita Vale, “Economic Evaluation of Predictive Dispatch Model in MAS-Based Smart Home”, PAAMS, pp. 81-91, Porto, Portugal, 2017 DOI

Ricardo Faia, Tiago Pinto, Zita Vale, “Initial Solution Heuristic for Portfolio Optimization of Electricity Markets Participation”, 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”, 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

Francisco Silva, Brígida Teixeira, Tiago Pinto, Isabel Praça, Goreti Marreiros, Zita Vale, “Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets”, pp. 159-166, ISAmI 2017 DOI

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 2017 DOI

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 2017 DOI

A.S. Gazafroudi, F. Prieto-Castrillo, T. Pinto, J.M. Corchado, A. Jozi, Z. Vale, “Model Predictive Dispatch in MAS-based Smart Home”, PAAMS 2017 DOI

Eugénia Vinagre, Gil Pinheiro, Zita Vale, Carlos Ramos, “Knowledge management system for big data in a smart electricity grid context”, IFKAD 2017 DOI

Amin Shokri Gazafroudi, Tiago Pinto, Francisco Prieto-Castrillo, Javier Prieto, Juan Manuel Corchado, “Organization-based Multi-Agent Structure of the Smart Home Electricity System”, CEC, San Sebastián, Spain, 2017 DOI

Papers | 2015 - 2016

    Journals

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

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

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

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 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

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

    Conferences

P. Herath, G.K. Venayagamoorthy, "A service provider model for demand response management", CIASG 2016, Athens, Greece,6-9 December, 2016 DOI

V. Guivarch, J. F. De Paz, G. Villarrubia, J. Bajo, A. Péninou and V. Camps, "Hybrid system to analyze user's behaviour", CIASG 2016, Athens, Greece,6-9 December, 2016 DOI

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, Athens, Greece,6-9 December, 2016 DOI

J. Spínola, P. Faria, Z. Vale, “Aggregation Validation Approach for the Management of Resources in a Smart Grid”, CIASG 2016 – CIASG 2016, Athens, Greece,6-9 December, 2016 DOI

R. Faia, T. Pinto, Z. Vale, “GA Optimization Technique for Portfolio Optimization of Electricity Market Participation”, CIASG 2016, Athens, Greece,6-9 December, 2016 DOI

Óscar García, Ricardo S. Alonso, Fabio Guevara, Juan F. de Paz, Gabriel Villarrubia, Juan M. Corchado, Omid Abrishambaf and Zita Vale, “Use of Context-aware Social Computing to Improve Energy Efficiency in Public Buildings”, CIASG 2016, Athens, Greece,6-9 December, 2016 DOI

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 DOI

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 DOI

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

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 DOI

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

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

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 DOI

Pablo Chamoso, Juan F. De Paz, Sara Rodríguez, and 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) 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) DOI

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) DOI

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)

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

V. Fusco, G.K. Venayagamoorthy, S. Squartini, F. Piazza, "Smart AMI based demand-response management in a micro-grid environment", PSC 2016, Clemson, 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", PSC 2016, Clemson, 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

João Soares, Pedro Faria, Bruno Canizes, Zita Vale, G. K. 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

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 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

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


Complexity Special Issue

Complex Optimization and Simulation in Power Systems Pdf Link

WCCI

Evolutionary Computation for Complex Optimization in the Energy Domain, IEEE World Congress on Computational Intelligence 2018 Link

ADCAIJ Special Issue

Advances in Distributed Computing and Artificial Intelligence Journal Special Issue on Demand Response and RenewableEnergy Sources in Smart Grids. Link

Conference IEEE SSCI 2018

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

"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

"Agent-based modeling for smart grids and M2M applications", 2017 IEEE Symposium on Computational Intelligence Applications in Smart Grid (IEEE CIASG’17) Pdf

Catching load flexibility potential in Smart Grids

"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

"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

"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 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

“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




Proceedings of the 3rd DREAM-GO Workshop

  • 2018

Intelligent load management in local and wholesale demand response markets. Deliverable D7.3 - Proceedings

3rdAnnual Workshop

  • 2018

Intelligent load management in local and wholesale demand response markets. Agenda

Proceedings of the 2nd DREAM-GO Workshop

  • 2017

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

2ndAnnual Workshop

  • 2017

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

Proceedings of the 1st DREAM-GO Workshop

  • 2016

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


1st Annual 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

  • 2018

DREAM-GO participates Photonics in Switching and Computing (PSC 2018), Cyprus, 19-21 September, 2018. Link

Conference

  • 2018

DREAM-GO participated in EuroScience Open Forum (ESOF 2018), Toulouse, 9-14 July, 2018. Link Presentation

Call for Papers

  • 2018

Distributed Energy Resources Management 2018. Please click the following link to check if all the information. Pdf

Special issue on Energies

  • 2018

Distributed Energy Resources Management 2018. Please click the following link to check if all the information. Link

ADCAIJ Special Issue

  • 2018

Advances in Distributed Computing and Artificial Intelligence Journal Special Issue on Demand Response and Renewable Energy Sources in Smart Grids. Link

Conference IEEE SSCI 2018

  • 2018

Optimizing the use of Distributed Energy Resources in Smart Grids with Effective Demand Response, Bengaluru, India, 18-21 November, 2018. Link

3rd Annual Workshop | Porto

  • 2018

Intelligent load management in local and wholesale demand response markets, Porto, Portugal, 23-24 January, 2018.

Call for Papers

  • 2017

2017 IEEE Symposium on Computational Intelligence Applications in Smart Grid (IEEE CIASG'17), Hawaii, USA, 27th November to 1st December, 2017. Link

Conference

  • 2017

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)

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 2017), Porto, Portugal, 21st-23rd June, 2017. Pdf

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 2016), 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 Pdf

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. Pdf


Deliverables

Seminars of the 3rd year DREAM-GO - Deliverable 7.8

  • 2018

Intelligent load management in local and wholesale demand response markets Deliverable D7.8



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



Proceedings of the 3rd DREAM-GO Workshop - Deliverable 7.4

  • 2018

Intelligent load management in local and wholesale demand response markets Deliverable D7.4 - Proceedings



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

  • 2017

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



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.