Zita Vale

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 39

Top Topics

Genetic Programming

Resource Management

Energy Consumption

Market Competition

Top Venues

Publications

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 (2024)
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 (2024)
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)
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)
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)
Fernando Lezama, José Almeida, João P. Soares, Zita Vale
Explainergy: Towards Explainability of Metaheuristic Performance in the Energy Field. SSCI (2023)
Bruno Ribeiro, Luis Gomes, Zita Vale
A Novel Federated Learning Approach to Enable Distributed and Collaborative Genetic Programming. EPIA (2) (2023)
Brigida Teixeira, Ricardo Faia, Tiago Pinto, Zita Vale
Study of Forecasting Methods' Impact in Wholesale Electricity Market Participation. DCAI (2) (2023)
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 (2023)
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)
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) (2023)
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)
Cátia Silva, Pedro Campos, Pedro Faria, Zita Vale
Exploring Dataset Patterns for New Demand Response Participants Classification. DCAI (1) (2023)
Aria Jozi, Tiago Pinto, Luis Gomes, Goreti Marreiros, Zita Vale
Rule-Based System for Intelligent Energy Management in Buildings. EPIA (2) (2023)
Luis Gomes, Bruno Ribeiro, Fernando Lezama, Zita Vale
A Multi-Agent System Empowered by Federated Learning and Genetic Programming. SIU (2023)
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 (2023)
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)
Rafael Barbarroxa, João Silva, Luis Gomes, Fernando Lezama, Bruno Ribeiro, Zita Vale
FeDis: Federated Learning Framework Supported by Distributed Ledger. BLOCKCHAIN (2023)
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)
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)
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)
Ricardo Faia, Pedro Faria, Zita Vale
Optimizing House Energy Management with MILP Considering Shifting of Electric Appliances and Battery Storage System. ISGT EUROPE (2023)
Bruno Ribeiro, Ricardo Faia, Luis Gomes, Zita Vale
Energy Community Integration of a Smart Home Based on an Open Source Multiagent System. PAAMS (2023)
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 (2023)
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)
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)
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)
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)
Cátia Silva, Pedro Faria, Zita Vale
Local Energy Market Competition Approach for Demand Response Events. ISGT EUROPE (2023)
Bruno Ribeiro, Luis Gomes, Rafael Barbarroxa, Zita Vale
A Novel Framework for Multiagent Knowledge-Based Federated Learning Systems. PAAMS (2023)
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)
Cátia Silva, Pedro Faria, Bruno Ribeiro, Luis Gomes, Zita Vale
Demand Response Contextual Remuneration of Prosumers with Distributed Storage. Sensors 22 (22) (2022)
Cátia Silva, Pedro Faria, Bruno Canizes, Zita Vale
Real-Time Approach for Managing Power Network by Shifting Electricity Consumers Demand. ISGT-Europe (2022)
Tiago Pinto, Tânia Rocha, Arsénio Reis, Zita Vale
Clustering-Based Filtering of Big Data to Improve Forecasting Effectiveness and Efficiency. MCSS (2022)
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)
Rui Carvalho, Gabriel Santos, Zita Vale
Open-access tools for the modelling and simulation of electricity markets. Energy Inform. 5 (2022)
Bruno Ribeiro, Helder Pereira, Luis Gomes, Zita Vale
Python-Based Ecosystem for Agent Communities Simulation. SOCO (2022)
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)
Vitor Oliveira, Tiago Pinto, Ricardo Faia, Bruno Veiga, Joao Soares, Rubén Romero, Zita Vale
Automatic Configuration of Genetic Algorithm for the Optimization of Electricity Market Participation Using Sequential Model Algorithm Configuration. EPIA (2022)