Probabilistic charging power forecast of EVCS: Reinforcement learning assisted deep learning approach
The electric vehicle (EV) and electric vehicle charging station (EVCS) have been widely
deployed with the development of large-scale transportation electrifications. However, since …
deployed with the development of large-scale transportation electrifications. However, since …
Evolutionary artificial intelligence model via cooperation search algorithm and extreme learning machine for multiple scales nonstationary hydrological time series …
Z Feng, W Niu, Z Tang, Y Xu, H Zhang - Journal of Hydrology, 2021 - Elsevier
Reliable and stable hydrological prediction plays a vitally crucial role in the scientific
operation of water resources system. As a famous artificial intelligence method for …
operation of water resources system. As a famous artificial intelligence method for …
Fully decentralized P2P energy trading in active distribution networks with voltage regulation
Peer-to-peer energy trading in an active distribution network can contribute to benefit
sharing among multiple prosumers and efficient accommodation of distributed renewable …
sharing among multiple prosumers and efficient accommodation of distributed renewable …
Deep reinforcement learning-based demand response for smart facilities energy management
This work proposes a novel deep reinforcement learning (DRL)-based demand response
algorithm for smart facilities energy management to minimize electricity costs while …
algorithm for smart facilities energy management to minimize electricity costs while …