23 citations · 44 across the 4 of their papers we have counts for
4 papers
Optimal Energy Storage Scheduling for Wind Curtailment Reduction and Energy Arbitrage: A Deep Reinforcement Learning Approach
Jinhao Li, Changlong Wang, Hao Wang
Wind energy has been rapidly gaining popularity as a means for combating climate change. However, the variable nature of wind generation can undermine system reliability and lead t…
Proximal Policy Optimization Based Reinforcement Learning for Joint Bidding in Energy and Frequency Regulation Markets
Muhammad Anwar, Changlong Wang, Frits de Nijs +1
Driven by the global decarbonization effort, the rapid integration of renewable energy into the conventional electricity grid presents new challenges and opportunities for the batt…
Deep Reinforcement Learning for Wind and Energy Storage Coordination in Wholesale Energy and Ancillary Service Markets
Jinhao Li, Changlong Wang, Hao Wang
Wind energy has been increasingly adopted to mitigate climate change. However, the variability of wind energy causes wind curtailment, resulting in considerable economic losses for…
The effect of inhomogeneous carbon prices on the cost-optimal design of a simplified European power system
Markus Schlott, Fabian Hofmann, Changlong Wang +2
Carbon prices are one of the most prominent methods to reduce global greenhouse gas emissions and have been adopted by several countries around the world. However, regionally diffe…