IEEE

A Multi-Phase Deep Learning Framework for Multi-Step Short-Term Wind Power Forecasting in Presence of Uncertainties

Abstract: With the expanding share of wind energy in power grids, accurate forecasting has become critical for maintaining system stability and operational efficiency. Notwithstanding, forecasting ...
IEEE

A Deep Reinforcement Learning Approach for Multi-UAV Collaborative Coverage with Adaptive Step Size and Dynamic Reward Mechanism

Abstract: In multi-UAV cooperative area coverage tasks, the effectiveness of path planning directly impacts coverage efficiency and mission completion time. Traditional reinforcement learning (RL) ...