Publicacións nas que colabora con Gabriel Matos Cardoso Leite (11)

2025

  1. Special-Crowd-Distance Boosted MESH Applied to the Operation of Cascade Hydro-Power Plants

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2024

  1. Corrigendum to “Evaluating the risk of uncertainty in smart grids with electric vehicles using an evolutionary swarm-intelligent algorithm” [J. Clean. Prod. 401 136775](S0959652623009332)(10.1016/j.jclepro.2023.136775)

    Journal of Cleaner Production

  2. Decision-Aid Applied to Rank Diverse Energy Storage Systems Technologies: A Methodology Using Information Fusion Concepts

    Communications in Computer and Information Science

  3. Machine Learning Health Estimation for Lithium-Ion Batteries Under Varied Conditions

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2023

  1. Cross-entropy boosted CRO-SL for optimal power flow in smart grids

    Soft Computing, Vol. 27, Núm. 10, pp. 6549-6572

  2. Evaluating the risk of uncertainty in smart grids with electric vehicles using an evolutionary swarm-intelligent algorithm

    Journal of Cleaner Production, Vol. 401

  3. Evaluating the use of a Net-Metering mechanism in microgrids to reduce power generation costs with a swarm-intelligent algorithm

    Energy, Vol. 266

  4. Solving an energy resource management problem with a novel multi-objective evolutionary reinforcement learning method

    Knowledge-Based Systems, Vol. 280

2022

  1. An Improved C-DEEPSO Algorithm for Optimal Active-Reactive Power Dispatch in Microgrids With Electric Vehicles

    IEEE Access, Vol. 10, pp. 94298-94311

2021

  1. An efficient multi-objective evolutionary approach for solving the operation of multi-reservoir system scheduling in hydro-power plants

    Expert Systems with Applications, Vol. 185

  2. Pattern Classification Applying Neighbourhood Component Analysis and Swarm Evolutionary Algorithms: A Coupled Methodology

    2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings