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
[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
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
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
Complex Optimization and Simulation in Power Systems
Pdf
Link
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 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 – Final release.
Pdf
Identified Short and Real-Time Demand Response Opportunities and the Corresponding Requirements and Concise Systematization of the Conceived and Developed DR Programs - Final release.
Pdf
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
Real-time demand response and intelligent direct load control.
Agenda
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
,
PPT_GECAD
,
PPT_USAL
,
PPT_NebusensS
,
PPT_Discovergy
,
PPT_Opal RT
DREAM-GO participates in Clemson University Power Systems Conference (PSC 2018), Charleston, 4-7 September, 2018.
Link
Event Photos
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”
Link
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
Event Photo
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.
Link
Distributed Energy Resources Management 2018. Please click the following link to check if all the information.
Pdf
Distributed Energy Resources Management 2018. Please click the following link to check if all the information.
Link
Advances in Distributed Computing and Artificial Intelligence Journal Special Issue on Demand Response and Renewable Energy Sources in Smart Grids.
Link
Optimizing the use of Distributed Energy Resources in Smart Grids with Effective Demand Response, Bengaluru, India, 18-21 November, 2018.
Link
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.
Link
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.
Link
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
“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
“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
IEEE SSCI CIASG Computational Intelligence Applications in Smart Grid - Special Session on Intelligent Management of Micro Grids and Buildings
Pdf
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
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.
