Neural Computing and Applications
From centralized grids to intelligent energy ecosystems: A privacy-preserving federated reinforcement learning architecture for autonomous renewable energy forecasting and surplus management
Privacy-preserving Photovoltaic Power Forecasting Using PCA-enhanced Federated LSTM Networks for Distributed Renewable Energy Systems
Whispers of the Wind: An Enhanced MLDD Model with Attention and Multi-Objective Optimization (MOGWO-PCA-GRU-Attention) for Ultra-Accurate Wind Power Forecasting
Pragmatic Fields of Artificial Intelligence (AI) and Artificial General Intelligence(AGI): A Comparative Analysis
An Adaptive, Physics-Guided Federated Multi-Agent Reinforcement Learning Framework for Proactive Air Pollution Mitigation
