Dolatabadi, Amirhossein

Publications, Activities, and Awards

  • An Improved Actor-Critic Reinforcement Learning with Neural Architecture Search for the Optimal Control Strategy of a Multi-Carrier Energy System
  • Deep Reinforcement Learning-Based Self-Scheduling Strategy for a CAES-PV System Using Accurate Sky Images-Based Forecasting
  • Deep Spatial-Temporal 2-D CNN -BLSTM Model for Ultrashort-Term LiDAR-Assisted Wind Turbine's Power and Fatigue Load Forecasting
  • Evolutionary-Based Neural Architecture Search for an Efficient CAES and PV Farm Joint Operation Strategy Using Deep Reinforcement Learning
  • Hybrid Deep Learning-Based Model for Wind Speed Forecasting Based on DWPT and Bidirectional LSTM Network
  • SFNAS-DDPG: A Biomass-Based Energy Hub Dynamic Scheduling Approach via Connecting Supervised Federated Neural Architecture Search and Deep Deterministic Policy Gradient