Multi-agent system based sequential energy management strategy for Micro-Grid using optimal weighted regularized extreme learning machine and decision tree. - Dounia El Bourakadi; Ali Yahyaouy; Jaouad Boumhidi (Intell. Decis. Technol., 2019)

Multi-Agent System Based on the Extreme Learning Machine and Fuzzy Control for Intelligent Energy Management in Microgrid. - Dounia El Bourakadi; Ali Yahyaouy; Jaouad Boumhidi (J. Intell. Syst., 2020)

Improved extreme learning machine with AutoEncoder and particle swarm optimization for short-term wind power prediction. - Dounia El Bourakadi; Ali Yahyaouy; Jaouad Boumhidi (Neural Comput. Appl., 2022)

Intelligent energy management for micro-grid based on deep learning LSTM prediction model and fuzzy decision-making. - Dounia El Bourakadi; Ali Yahyaouy; Jaouad Boumhidi (Sustain. Comput. Informatics Syst., 2022)

A robust energy management approach in two-steps ahead using deep learning BiLSTM prediction model and type-2 fuzzy decision-making controller. - Dounia El Bourakadi; Hiba Ramadan; Ali Yahyaouy; Jaouad Boumhidi (Fuzzy Optim. Decis. Mak., 2023)

Optimizing Hydrogen Refueling Station Recommendations: A Comparative Analysis Between Genetic Algorithm and Particle Swarm Optimization. - Soukayna Abibou; Dounia El Bourakadi; Ali Yahyaouy; Hamid Gualous (SN Comput. Sci., 2024)