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

Scientific Journals:

  • Mota, B., Albergaria, M., Pereira, H. et al. Climatization and luminosity optimization of buildings using genetic algorithm, random forest, and regression models. Energy Inform 4, 42 (2021). doi.org/10.1186/s42162-021-00151-x
  • de São José, D., Faria, P., Vale, Z. Smart energy community: A systematic review with metanalysis. Energy Strategy Reviews, Volume 36, 2021, 100678. doi.org/10.1016/j.esr.2021.100678
  • Vale, Z.; Faria, P.; Abrishambaf, O.; Gomes, L.; Pinto, T. MARTINE—A Platform for Real-Time Energy Management in Smart Grids. Energies 2021, 14, 1820. doi.org/10.3390/en14071820
  • Ramos, D.; Khorram, M.; Faria, P.; Vale, Z. Load Forecasting in an Office Building with Different Data Structure and Learning Parameters. Forecasting 2021, 3, 242-255. doi.org/10.3390/forecast3010015
  • Daniel Ramos, Brígida Teixeira, Pedro Faria, Luis Gomes, Omid Abrishambaf, Zita Vale, Using Diverse Sensors in Load Forecasting in an Office Building to Support Energy Management, Energy Reports, Volume 6, Supplement 8, December 2020, Pages 182-187. doi.org/10.1016/j.egyr.2020.11.100
  • Santos, G.; Faria, P.; Vale, Z.; Pinto, T.; Corchado, J.M., Constrained Generation Bids in Local Electricity Markets: A Semantic Approach. Energies 2020, 13, 3990. doi.org/10.3390/en13153990
  • Gomes, L.; Almeida, C.; Vale, Z. Recommendation of Workplaces in a Coworking Building: A Cyber-Physical Approach Supported by a Context-Aware Multi-Agent System. Sensors 2020, 20, 3597. doi.org/10.3390/s20123597
  • 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.org/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.org/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.org/10.1016/j.scs.2019.101832 

International Conferences:

  • Santos G., Pinto T., Vale Z., Corchado J.M. (2021) Semantic Interoperability for Multiagent Simulation and Decision Support in Power Systems. In: De La Prieta F., El Bolock A., Durães D., Carneiro J., Lopes F., Julian V. (eds) Highlights in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. PAAMS Workshops 2021. Communications in Computer and Information Science, vol 1472. Springer, Cham. doi.org/10.1007/978-3-030-85710-3_18
  • Santos G. et al. (2021) Semantic Services Catalog for Multiagent Systems Society. In: Dignum F., Corchado J.M., De La Prieta F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. PAAMS 2021. Lecture Notes in Computer Science, vol 12946. Springer, Cham. doi.org/10.1007/978-3-030-85739-4_19
  • Tiago Pinto and Zita Vale, Adaptive learning in multiagent systems for automated energy contacts negotiation, 24th European Conference on Artificial Intelligence – ECAI 2020, 29 August – 8 September 2020, Santiago de Compostela (online). doi.org/10.3233/FAIA200458
  • Mahsa Khorram, Pedro Faria, Omid Abrishambaf, Zita Vale, Air Conditioner Consumption Optimization in an Office Building Considering User Comfort. ICEER 2019 – 6th International Conference on Energy and Environment Research, Aveiro, Portugal, 22-25 July 2019. doi.org/10.1016/j.egyr.2019.08.029
  • 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.org/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.org/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. doi.org/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. doi.org/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. doi.org/10.1007/978-3-319-61118-1_20
  • 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. researchgate.net/publication/347015293
  • 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. doi.org/10.5555/3306127.3332117