Article,
Imbalance Cost-Aware Energy Scheduling for Prosumers Towards UAM Charging: A Matching and Multi-Agent DRL Approach
Affiliations
- [1] Kyung Hee Univ, Dept Comp Sci & Engn, Yongin 17104, South Korea [NORA names: South Korea; Asia, East; OECD];
- [2] Old Dominion Univ, Sch Cyber Secur, Suffolk, VA 23435 USA [NORA names: United States; America, North; OECD];
- [3] Aalborg Univ, Dept Elect Syst, DK-9220 Aalborg, Denmark [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD]
Abstract
Abstract not displayed. As this article is not marked as Open Access, it is unclear if we are allowed to show the abstract. Please use the link in the sidebar to view the data provider version of the article including abstract.
Keywords
Clustering-based multi-agent dueling double deep Q network (MA3DQN),
destination collision-aware Gale-Shapely matching game (DC-MG),
electric vertical take-off and landing aircraft (eVTOL)-charging-enabled prosumers,
energy supply-demand imbalance cost