Title
A Reinforcement Learning Approach for User Preference-Aware Energy Sharing Systems
Abstract
Energy Sharing Systems (ESS) are envisioned to be the future of power systems. In these systems, consumers equipped with renewable energy generation capabilities are able to participate in an energy market to sell their energy. This paper proposes an ESS that, differently from previous works, takes into account the consumers’ preference, engagement, and bounded rationality. The pr...
Year
DOI
Venue
2021
10.1109/TGCN.2021.3077854
IEEE Transactions on Green Communications and Networking
Keywords
DocType
Volume
Power generation,Renewable energy sources,Production,Energy exchange,Reinforcement learning,Green products,Coal
Journal
5
Issue
ISSN
Citations 
3
2473-2400
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Ashutosh Timilsina100.34
Atieh R. Khamesi200.68
Vincenzo Agate354.84
S. Silvestri427529.61