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ORCIDZita A. Vale
Zita Vale
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- affiliation: Polytechnic of Porto, Portugal
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2020 – today
- 2024
[j66]Gerardo A. Castañón
, Ana María Sarmiento, Alberto F. Martínez-Herrera, Alejandro Aragón Zavala, Fernando Lezama, Zita Vale:
Comparative Analysis of Metaheuristics for Solving the Optimal Power Flow With Renewable Sources and Valve-Point Constraints. IEEE Access 12: 99422-99438 (2024)- [j65]José Almeida, João P. Soares, Fernando Lezama, Zita Vale, Bruno Francois:
Comparison of evolutionary algorithms for solving risk-based energy resource management considering conditional value-at-risk analysis. Math. Comput. Simul. 224: 87-110 (2024) - [c269]Sérgio Ramos, João P. Soares, José Almeida, Zita Vale:
Intelligent Data Mining on Power Systems: Examples from Case Studies. EPIA (2) 2024: 135-147 - [c268]Bruno Ribeiro, Luis Gomes, Zita Vale:
Retrieval-Augmented Generation Based Assistant: A Smart Home Case Study. EPIA (2) 2024: 160-171 - [c267]Filipe Alves, Rui Ribeiro, Maria Petiz, Ali Abbasi, Pedro Carvalho, Ricardo Faia, Pedro Faria, Zita Vale, Ricardo Rodrigues:
Virtual Power Plant Optimization Service - Benchmark of Solvers. FedCSIS 2024: 279-287 - [c266]Fernando Lezama, José Almeida, João Soares, Zita Vale, Wenlei Bai, Kwang Y. Lee, Wen Zhang:
Assessing PV Integration with Evolutionary Algorithms: Insights from the 2024 Competition on Evolutionary Computation in the Energy Domain. GECCO Companion 2024: 1738-1744 - [c265]Rafael Barbarroxa, Luis Gomes, Zita Vale:
Benchmarking Large Language Models for Multi-agent Systems: A Comparative Analysis of AutoGen, CrewAI, and TaskWeaver. PAAMS 2024: 39-48 - [c264]Francisco Oliveira, Luis Gomes, Zita Vale:
Retrieval-Augmented Generation Powered by a Multi-agent System to Assisted the Operation of Industries. PAAMS 2024: 208-216 - [d27]Ricardo Faia, Calvin Goncalves, Luis Gomes, Zita Vale:
A complete energy community dataset with photovoltaic generation, battery energy storage systems and electric vehicles (v1.5). Version 1.5. Zenodo, 2024 [all versions]
- [d26]Luis Gomes, Zita Vale:
Costless renewable energy distribution model based on cooperative game theory for energy communities considering its members' active contributions. Zenodo, 2024 - [d25]Calvin Goncalves, Rúben Barreto, Pedro Faria, Luis Gomes, Zita Vale:
Dataset of an Energy Community's Consumption and Generation with Appliance Allocation for One Year. Version 2. Zenodo, 2024 [all versions] - 2023
- [j64]Yassine Boukili, Motaz M. Ayiad, Hamed Moayyed, A. Pedro Aguiar, Zita Vale:
Robust State Estimation Model for Low Voltage Distribution Networks in the Presence of Multiple Gross Errors. IEEE Access 11: 42403-42415 (2023) - [j63]Cátia Silva, Pedro Faria, Rúben Barreto, Zita Vale:
Fair Management of Vehicle-to-Grid and Demand Response Programs in Local Energy Communities. IEEE Access 11: 79851-79860 (2023) - [j62]José Almeida, João P. Soares, Bruno Canizes, Iván S. Razo-Zapata, Zita Vale:
Day-ahead to intraday energy scheduling operation considering extreme events using risk-based approaches. Neurocomputing 543: 126229 (2023) - [j61]Hamed Moayyed, Arash Moradzadeh, Amin Mansour Saatloo, Behnam Mohammadi-Ivatloo, Mehdi Abapour, Zita Vale:
A Global Cyber-Resilient Model for Dynamic Line Rating Forecasting Based on Deep Federated Learning. IEEE Syst. J. 17(4): 6390-6400 (2023) - [c263]Rafael Barbarroxa, João Silva, Luis Gomes, Fernando Lezama, Bruno Ribeiro, Zita Vale:
FeDis: Federated Learning Framework Supported by Distributed Ledger. BLOCKCHAIN 2023: 32-41 - [c262]João Leal, Hamed Moayyed, Zita A. Vale:
Detection of Human Falls via Computer Vision for Elderly Care - An I3D/RNN Approach. DCAI (1) 2023: 113-122 - [c261]Bruno Ribeiro, Luis Gomes, Ricardo Faia, Zita Vale:
Federated Genetic Programming: A Study About the Effects of Non-IID and Federation Size. DCAI (1) 2023: 193-202 - [c260]João Carvalho, Tiago Pinto, Juan M. Home-Ortiz, Brigida Teixeira, Zita Vale, Rubén Romero:
Dynamic Parameterization of Metaheuristics Using a Multi-agent System for the Optimization of Electricity Market Participation. DCAI (2) 2023: 245-255 - [c259]Brigida Teixeira, Ricardo Faia, Tiago Pinto, Zita Vale:
Study of Forecasting Methods' Impact in Wholesale Electricity Market Participation. DCAI (2) 2023: 267-276 - [c258]Cátia Silva, Pedro Campos, Pedro Faria, Zita Vale:
Exploring Dataset Patterns for New Demand Response Participants Classification. DCAI (1) 2023: 306-317 - [c257]José Almeida, Fernando Lezama, João P. Soares, Zita Vale:
Illuminating Metaheuristic Performance Using Vortex MAP-Elites for Risk-Based Energy Resource Management. EI.A 2023: 30-43 - [c256]Tayenne Dias de Lima, Cleberton Reiz, João P. Soares, Fernando Lezama, John F. Franco, Zita Vale:
Distributed Energy Resources and EV Charging Stations Expansion Planning for Grid-Connected Microgrids. EI.A (2) 2023: 33-48 - [c255]José Almeida, Fernando Lezama, João P. Soares, Zita Vale:
Comparing Manual vs Automatic Tuning of Differential Evolution Strategies for Energy Resource Management Optimization. EI.A 2023: 44-59 - [c254]Daniel Ramos, Pedro Faria, Zita Vale:
Comparison of Inputs Correlation and Explainable Artificial Intelligence Recommendations for Neural Networks Forecasting Electricity Consumption. EI.A (2) 2023: 51-62 - [c253]Daniel Ramos, Pedro Faria, Luis Gomes, Zita Vale:
Computational Approaches for Green Computing of Energy Consumption Forecasting on Non-working Periods in an Office Building. EI.A (2) 2023: 83-91 - [c252]Fábio Castro, Bruno Canizes, João P. Soares, Marcos J. Rider, Zita Vale:
Distributed Resources Remuneration on a Medium Voltage Network with Uncertainty and Seasonal Impacts. EI.A (2) 2023: 158-174 - [c251]Aria Jozi, Tiago Pinto, Luis Gomes, Goreti Marreiros, Zita Vale:
Rule-Based System for Intelligent Energy Management in Buildings. EPIA (2) 2023: 169-181 - [c250]Bruno Ribeiro, Luis Gomes, Zita Vale:
A Novel Federated Learning Approach to Enable Distributed and Collaborative Genetic Programming. EPIA (2) 2023: 195-206 - [c249]José Almeida, Fernando Lezama, João P. Soares, Leonardo H. Macedo, Zita Vale, Rubén Romero:
Metaheuristic Optimization for Transmission Network Expansion Planning: Testebed 2 of the Competition on Evolutionary Computation in the Energy Domain. GECCO Companion 2023: 1668-1675 - [c248]Rúben Barreto, Luis Gomes, Pedro Faria, Zita Vale:
Demand Response-based Energy Management Model for Energy Communities considering Data Privacy of the Members. ISGT EUROPE 2023: 1-5 - [c247]Fábio Castro, Bruno Canizes, João P. Soares, Zita Vale:
Hourly uncertainty applied to optimal expansion planning considering energy storage and seasonal network impacts. ISGT EUROPE 2023: 1-5 - [c246]Ricardo Faia, Pedro Faria, Zita Vale:
Optimizing House Energy Management with MILP Considering Shifting of Electric Appliances and Battery Storage System. ISGT EUROPE 2023: 1-5 - [c245]Daniel Ramos, Pedro Faria, Zita Vale:
Explainable Artificial Intelligence for Definition of Inputs in Neural Networks and K-nearest Neighbors Forecasting of Electricity Consumption. ISGT EUROPE 2023: 1-5 - [c244]Cátia Silva, Pedro Faria, Zita Vale:
Local Energy Market Competition Approach for Demand Response Events. ISGT EUROPE 2023: 1-5 - [c243]Bruno Ribeiro, Luis Gomes, Rafael Barbarroxa, Zita Vale:
A Novel Framework for Multiagent Knowledge-Based Federated Learning Systems. PAAMS 2023: 296-306 - [c242]Bruno Ribeiro, Ricardo Faia, Luis Gomes, Zita Vale:
Energy Community Integration of a Smart Home Based on an Open Source Multiagent System. PAAMS 2023: 415-421 - [c241]Luis Gomes, Bruno Ribeiro, Fernando Lezama, Zita Vale:
A Multi-Agent System Empowered by Federated Learning and Genetic Programming. SIU 2023: 1-4 - [c240]Fernando Lezama, José Almeida, João P. Soares, Zita Vale:
Explainergy: Towards Explainability of Metaheuristic Performance in the Energy Field. SSCI 2023: 783-788 - [c239]Fernando Lezama, José Almeida, João P. Soares, Bruno Canizes, Zita Vale:
Insights into the 2022 WCCI-GECCO Competition: Statistical Analysis of Evolutionary Computation in the Energy Domain. SSCI 2023: 789-794 - [e8]Nuno Moniz, Zita Vale, José Cascalho, Catarina Silva, Raquel Sebastião:
Progress in Artificial Intelligence - 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14115, Springer 2023, ISBN 978-3-031-49007-1 [contents] - [e7]Nuno Moniz, Zita Vale, José Cascalho, Catarina Silva, Raquel Sebastião:
Progress in Artificial Intelligence - 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14116, Springer 2023, ISBN 978-3-031-49010-1 [contents] - [d24]Ricardo Faia, Calvin Goncalves, Luis Gomes, Zita Vale:
A complete energy community dataset with photovoltaic generation, battery energy storage systems and electric vehicles. Version 1.0. Zenodo, 2023 [all versions] - [d23]Gabriel Santos, Hugo Morais, Tiago Pinto, Juan M. Corchado, Zita Vale:
Intelligent Energy Systems Ontology: Local flexibility market and power system co-simulation demonstration. Version 2. Zenodo, 2023 [all versions] - [d22]Bruno Veiga, Gabriel Santos, Tiago Pinto, Ricardo Faia, Carlos Ramos, Zita Vale:
Demonstration of Simulation Tools for Electricity Markets considering Power Flow Analysis. Zenodo, 2023 - 2022
- [j60]José Almeida, João P. Soares, Fernando Lezama, Zita A. Vale:
Robust Energy Resource Management Incorporating Risk Analysis Using Conditional Value-at-Risk. IEEE Access 10: 16063-16077 (2022) - [j59]Zahra Foroozandeh, Sérgio Ramos, João P. Soares, Zita A. Vale:
Goal Programming Approach for Energy Management of Smart Building. IEEE Access 10: 25341-25348 (2022) - [j58]Daniel Ramos, Pedro Faria, Luis Gomes, Zita A. Vale:
A Contextual Reinforcement Learning Approach for Electricity Consumption Forecasting in Buildings. IEEE Access 10: 61366-61374 (2022) - [j57]Bruno Canizes, Bruno Mota, Pedro Ribeiro, Zita A. Vale:
Demand Response Driven by Distribution Network Voltage Limit Violation: A Genetic Algorithm Approach for Load Shifting. IEEE Access 10: 62183-62193 (2022) - [j56]Ansel Y. Rodríguez-González, Fernando Lezama, Yoan Martínez-López, Julio Madera, João P. Soares, Zita A. Vale:
WCCI/GECCO 2020 Competition on Evolutionary Computation in the Energy Domain: An overview from the winner perspective. Appl. Soft Comput. 125: 109162 (2022) - [j55]Rui Carvalho, Gabriel Santos, Zita Vale:
Open-access tools for the modelling and simulation of electricity markets. Energy Inform. 5 (2022) - [j54]Helder Pereira, Luis Gomes, Zita Vale:
Peer-to-peer energy trading optimization in energy communities using multi-agent deep reinforcement learning. Energy Inform. 5 (2022) - [j53]Filipe Fernandes, Hugo Morais, Zita A. Vale:
Near real-time management of appliances, distributed generation and electric vehicles for demand response participation. Integr. Comput. Aided Eng. 29(3): 313-332 (2022) - [j52]Cátia Silva, Pedro Faria, Bruno Ribeiro, Luis Gomes, Zita Vale:
Demand Response Contextual Remuneration of Prosumers with Distributed Storage. Sensors 22(22): 8877 (2022) - [c238]Eduardo Lacerda, Fernando Lezama, João P. Soares, Bruno Canizes, Zita A. Vale:
Metaheuristic Optimization Solving Demand Response Contract Markets with Network Validation. CEC 2022: 1-8 - [c237]Miguel Vieira, Ricardo Faia, Fernando Lezama, Zita A. Vale:
A Sensitivity Analysis of PSO Parameters Solving the P2P Electricity Market Problem. CEC 2022: 1-7 - [c236]Vitor Oliveira, Tiago Pinto, Ricardo Faia, Bruno Veiga, João P. Soares, Rubén Romero, Zita Vale:
Automatic Configuration of Genetic Algorithm for the Optimization of Electricity Market Participation Using Sequential Model Algorithm Configuration. EPIA 2022: 245-257 - [c235]Daniel Ramos, Pedro Faria, Luis Gomes, Pedro Campos, Zita A. Vale:
A Learning Approach to Improve the Selection of Forecasting Algorithms in an Office Building in Different Contexts. EPIA 2022: 271-281 - [c234]José Almeida, Fernando Lezama, João P. Soares, Zita A. Vale, Bruno Canizes:
Preliminary results of advanced heuristic optimization in the risk-based energy scheduling competition. GECCO Companion 2022: 1812-1816 - [c233]Meysam Khojasteh, Pedro Faria, Fernando Lezama, Zita Vale:
Optimal Strategy of Energy Aggregators in the Energy and Regulation markets: Chance-Constrained Approach. ISGT-Europe 2022: 1-5 - [c232]Cátia Silva, Pedro Faria, Bruno Canizes, Zita Vale:
Real-Time Approach for Managing Power Network by Shifting Electricity Consumers Demand. ISGT-Europe 2022: 1-5 - [c231]Tiago Pinto, Tânia Rocha, Arsénio Reis, Zita Vale:
Clustering-Based Filtering of Big Data to Improve Forecasting Effectiveness and Efficiency. MCSS 2022: 144-152 - [c230]Daniel Ramos, Pedro Faria, Luis Gomes, Zita A. Vale:
CPU Computation Influence on Energy Consumption Forecasting Activities of a Building. SOCO 2022: 51-61 - [c229]Bruno Ribeiro, Helder Pereira, Luis Gomes, Zita Vale:
Python-Based Ecosystem for Agent Communities Simulation. SOCO 2022: 62-71 - [c228]Cátia Silva, Pedro Faria, Zita A. Vale:
DR Participants' Actual Response Prediction Using Artificial Neural Networks. SOCO 2022: 176-185 - [d21]Luis Gomes, Tiago Pinto, Zita Vale:
A full-year data regarding a smart building. Zenodo, 2022 - [d20]Calvin Goncalves, Rúben Barreto, Pedro Faria, Luis Gomes, Zita Vale:
Dataset of an Energy Community's Consumption and Generation with Appliance Allocation for One Year. Version 1.0. Zenodo, 2022 [all versions] - [d19]Helder Pereira, Luis Gomes, Hugo Morais, Zita Vale:
Dataset of 30 energy customers with flexibility data, and distributed generation, considering residential, small commerce, large commerce, and industrial customers. Zenodo, 2022 - [d18]Cátia Silva, Pedro Faria, Luis Gomes, Zita Vale:
Dataset of 20 energy prosumers with flexibility data, distributed generation and energy storage. Zenodo, 2022 - 2021
- [j51]Ricardo Faia, João P. Soares, Tiago Pinto, Fernando Lezama, Zita A. Vale, Juan M. Corchado:
Optimal Model for Local Energy Community Scheduling Considering Peer to Peer Electricity Transactions. IEEE Access 9: 12420-12430 (2021) - [j50]Tiago Pinto, Michael J. Wooldridge, Zita A. Vale:
Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable Utility. IEEE Access 9: 51519-51535 (2021) - [j49]Cindy P. Guzmán, Nataly Bañol Arias, John Fredy Franco, João P. Soares, Zita A. Vale, Rubén Romero:
Boosting the Usage of Green Energy for EV Charging in Smart Buildings Managed by an Aggregator Through a Novel Renewable Usage Index. IEEE Access 9: 105357-105368 (2021) - [j48]Steffen Limmer, Fernando Lezama, João P. Soares, Zita A. Vale:
Coordination of Home Appliances for Demand Response: An Improved Optimization Model and Approach. IEEE Access 9: 146183-146194 (2021) - [j47]Pedro Faria, Fernando Lezama, Zita A. Vale, Mahsa Khorram:
A methodology for energy key performance indicators analysis. Energy Inform. 4(1) (2021) - [j46]Tayenne Dias de Lima, John F. Franco, Fernando Lezama, João P. Soares, Zita A. Vale:
Joint Optimal Allocation of Electric Vehicle Charging Stations and Renewable Energy Sources Including CO2 Emissions. Energy Inform. 4(S2) (2021) - [j45]Bruno Mota, Miguel Albergaria, Helder Pereira, José Silva, Luis Gomes, Zita A. Vale, Carlos Ramos:
Climatization and luminosity optimization of buildings using genetic algorithm, random forest, and regression models. Energy Inform. 4(S2) (2021) - [j44]Helder Pereira, Luis Gomes, Pedro Faria, Zita A. Vale, Carlos Coelho:
Web-based platform for the management of citizen energy communities and their members. Energy Inform. 4(S2) (2021) - [j43]Tiago Pinto, Isabel Praça, Zita A. Vale, José Silva:
Ensemble learning for electricity consumption forecasting in office buildings. Neurocomputing 423: 747-755 (2021) - [j42]Esteban Jove, Roberto Casado-Vara, José Luís Casteleiro-Roca, Juan Albino Méndez Pérez, Zita A. Vale, José Luís Calvo-Rolle:
A hybrid intelligent classifier for anomaly detection. Neurocomputing 452: 498-507 (2021) - [c227]Decebal Constantin Mocanu, Elena Mocanu, Tiago Pinto, Selima Curci, Phuong H. Nguyen, Madeleine Gibescu, Damien Ernst, Zita A. Vale:
Sparse Training Theory for Scalable and Efficient Agents. AAMAS 2021: 34-38 - [c226]José Almeida, João P. Soares, Bruno Canizes, Fernando Lezama, Mohammad Ali Fotouhi Ghazvini, Zita A. Vale:
Evolutionary Algorithms for Energy Scheduling under uncertainty considering Multiple Aggregators. CEC 2021: 225-232 - [c225]Eduardo Lacerda, Fernando Lezama, João P. Soares, Zita A. Vale:
DSO Contract Market for Demand Response Using Evolutionary Computation. CEC 2021: 233-240 - [c224]Inês Tavares, José Almeida, João P. Soares, Sérgio Ramos, Zita A. Vale, Zahra Foroozandeh:
Optimizing Energy Consumption of Household Appliances Using PSO and GWO. EPIA 2021: 137-150 - [c223]Brigida Teixeira, Tiago Pinto, Pedro Faria, Zita A. Vale:
PV Generation Forecasting Model for Energy Management in Buildings. EPIA 2021: 176-182 - [c222]Juliana Chavez, João P. Soares, Zita A. Vale, Bruno Canizes, Sérgio Ramos:
A Review of Unpredictable Renewable Energy Sources Through Electric Vehicles on Islands. IBICA 2021: 751-760 - [c221]Bruno Canizes, João P. Soares, José Almeida, Wanderley Paris, Zita A. Vale:
Energy Resource Scheduling Optimization for Smart Power Distribution Grids - Hour-Ahead Horizon. ISGT-Europe 2021: 1-6 - [c220]Zahra Foroozandeh, Sérgio Ramos, João P. Soares, Zita A. Vale:
Optimal Contract Power and Battery Energy Storage System Capacity for Smart Buildings. ISGT-Europe 2021: 1-5 - [c219]Cátia Silva, Pedro Faria, Zita A. Vale:
Consumers Minimum Rate for Participation in Demand Response Events Under Uncertainty. ISGT-Europe 2021: 1-5 - [c218]João P. Soares, Fernando Lezama, Aldo Trindade, Sérgio Ramos, Bruno Canizes, Zita A. Vale:
Electric Vehicles Trips and Charging Simulator Considering the User Behaviour in a Smart City. ISGT-Europe 2021: 1-6 - [c217]Gabriel Santos, Tiago Pinto, Zita A. Vale, Juan M. Corchado:
Semantic Interoperability for Multiagent Simulation and Decision Support in Power Systems. PAAMS (Workshops) 2021: 215-226 - [c216]Gabriel Santos, Alda Canito, Rui Carvalho, Tiago Pinto, Zita A. Vale, Goreti Marreiros, Juan M. Corchado:
Semantic Services Catalog for Multiagent Systems Society. PAAMS 2021: 229-240 - [c215]José Almeida, João P. Soares, Bruno Canizes, Iván S. Razo-Zapata, Zita A. Vale:
Intraday Energy Resource Scheduling for Load Aggregators Considering Local Market. SOCO 2021: 233-242 - [c214]Luis Gomes, Zita A. Vale:
Energy Predictions for System on a Chip Solutions. SOCO 2021: 243-250 - [c213]José Almeida, João P. Soares, Fernando Lezama, Bruno Canizes, Zita A. Vale:
Evolutionary Algorithms applied to the Intraday Energy Resource Scheduling in the Context of Multiple Aggregators. SSCI 2021: 1-8 - [c212]Fernando Lezama, João P. Soares, Bruno Canizes, Zita A. Vale:
A Statistical Analysis of Performance in the 2021 CEC-GECCO-PESGM Competition on Evolutionary Computation in the Energy Domain. SSCI 2021: 1-8 - [c211]Osvaldo Ribeiro, Luis Gomes, Zita A. Vale:
IoT-Based Human Fall Detection Solution Using Morlet Wavelet. SSCT 2021: 14-25 - [c210]Cátia Silva, Pedro Faria, Zita A. Vale:
Managing Smart City Power Network by Shifting Electricity Consumers Demand. SSCT 2021: 81-91 - [d17]Ricardo Faia, João P. Soares, Mohammad Ali Fotouhi Ghazvini, John F. Franco, Zita Vale:
Energy consumption and PV generation data of 50 prosumers and energy consumption of 40 electric vehicles - 15-minute resolution. Zenodo, 2021 - [d16]Luis Gomes, Zita Vale, Tiago Pinto:
Photovoltaic generation data, for 3 years, regarding the 2022-3 Competition on solar generation forecasting. Zenodo, 2021 - [d15]Fernando Lezama, João P. Soares, Bruno Canizes, Zita Vale, Rubén Romero:
2021 COMPETITION ON EVOLUTIONARY COMPUTATION IN THE ENERGY DOMAIN: SMART GRID APPLICATIONS. Zenodo, 2021 - [d14]Tayenne Dias de Lima, John F. Franco, Fernando Lezama, João P. Soares, Zita Vale:
Joint optimal Allocation of Electric Vehicle Charging Stations and Renewable Energy Sources including CO2 emissions: Study data. Zenodo, 2021 - [d13]Gabriel Santos, Alda Canito, Rui Carvalho, Tiago Pinto, Zita Vale, Goreti Marreiros, Juan M. Corchado:
Semantic Services Catalog: Demonstration of Multiagent Systems Society co-simulation. Zenodo, 2021 - [d12]Gabriel Santos, Luis Gomes, Tiago Pinto, Zita Vale, Pedro Faria:
MARTINE Semantic Interoperability: Local Electricity Market Hour-Ahead Session. Zenodo, 2021 - [d11]Gabriel Santos, Hugo Morais, Tiago Pinto, Juan M. Corchado, Zita Vale:
Intelligent Energy Systems Ontology: Local flexibility market and power system co-simulation demonstration. Version 1.0. Zenodo, 2021 [all versions] - [d10]João P. Soares, Fernando Lezama, Bruno Canizes, Zita Vale:
Competition on Evolutionary Computation in the Energy Domain: Smart Grid Applications. IEEE DataPort, 2021 - [d9]