Multi-agent deep reinforcement learning for efficient multi-timescale bidding of a hybrid power plant in day-ahead and real-time markets
Author:
Publisher
Elsevier BV
Subject
Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction
Reference48 articles.
1. Challenges and solution technologies for the integration of variable renewable energy sources—A review;Sinsel;Renew Energy,2020
2. On optimal participation in the electricity markets of wind power plants with battery energy storage systems;Heredia;Comput Oper Res,2018
3. Long-term revenue estimation for battery performing arbitrage and ancillary services;Hashmi,2018
4. Look-ahead optimal participation of compressed air energy storage in day-ahead and real-time markets;Khatami;IEEE Trans Sustain Energy,2020
5. On complexity of stochastic programming problems;Shapiro,2005
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