Multi-Agent Systems SemantiC Interoperability for simulation and dEcision supporT in
complex energY systems

Publications

Scientific Journals:

  • Gomes L., Vale Z. and Corchado J. M., Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading, in IEEE Access, vol. 8, pp. 64169-64183, 2020, doi: 10.1109/ACCESS.2020.2985254
  • Gomes L., Vale Z. and Corchado J. M., Microgrid management system based on a multi-agent approach: An office building pilot, Measurement, Volume 154, 2020, 107427, ISSN 0263-2241, doi: 10.1016/j.measurement.2019.107427
  • Santos G., Vale Z., Faria P., Gomes L., BRICKS: Building’s reasoning for intelligent control knowledge-based system, Sustainable Cities and Society, Volume 52, 2020, 101832, ISSN 2210-6707, doi: 10.1016/j.scs.2019.101832  

International Conferences:

  • Santos G., Pinto T., Vale Z., Corchado J.M., Multi-agent semantic interoperability in complex energy systems simulation and decision support, 2019 20th International Conference on Intelligent System Application to Power Systems (ISAP), New Delhi, India, 2019, pp. 1-6, doi: 10.1109/ISAP48318.2019.9065951
  • Silva C., Faria P., Vale Z., Real-Time Approach for Demand Response Tariffs Definition Using Decision Trees, 2019 20th International Conference on Intelligent System Application to Power Systems (ISAP), New Delhi, India, 2019, pp. 1-6, doi: 10.1109/ISAP48318.2019.9065969
  • Lezama F., Munoz de Cote E., Farinelli A., Soares J., Pinto T., Vale Z. (2019) “Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management”. In: Moura Oliveira P., Novais P., Reis L. (eds) Progress in Artificial Intelligence. EPIA 2019. Lecture Notes in Computer Science, vol 11804. Springer, Cham. 10.1007/978-3-030-30241-2_37  
  • Pinto T., Praça I., Vale Z., Santos C. (2019) “Collaborative Reinforcement Learning of Energy Contracts Negotiation Strategies”. In: De La Prieta F. et al. (eds) Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS Collection. PAAMS 2019. Communications in Computer and Information Science, vol 1047. Springer, Cham. 10.1007/978-3-030-24299-2_17  
  • Nascimento J., Pinto T., Vale Z. (2019) “Day-ahead electricity market price forecasting using artificial neural network with spearman data correlation”. In: IEEE Milan PowerTech, Milan, Italy, 2019, pp. 1-6. 10.1109/PTC.2019.8810618
  • Silva F., Pinto T., Vale Z. (2019) “Decision Support System for Opponents Selection in Electricity Markets Bilateral Negotiations”. In: AAMAS ’19 Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems. Pages 2384-2386. dl.acm.org/citation.cfm?id=3332120
  • Pinto T., Santos G., Vale Z. (2019) “Practical Application of a Multi-Agent Systems Society for Energy Management and Control”. In: AAMAS ’19 Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems. Pages 2378-2380. dl.acm.org/citation.cfm?id=3332118
  • Pinto, T., & Vale, Z.A. (2019). “ALBidS: A Decision Support System for Strategic Bidding in Electricity Markets”. In: AAMAS ’19 Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems. Link to the paper

Deliverables

Coming soon…