Amirhossein Dolatabadi

About

Amirhossein Dolatabadi is a Graduate Research and Teaching Assistant at the University of Alberta Faculty of Engineering, Canada. His research focuses on advanced techniques in deep reinforcement learning and energy management systems, as evidenced by his recent articles on biomass-based energy hubs, PV integrated energy hubs, and wind speed forecasting. He employs innovative methodologies such as hybrid deep learning models and CNN-BLSTM frameworks to enhance forecasting and scheduling strategies in renewable energy applications.