Improving Energy Flexibility in Photovoltaic-Battery Systems through Switching Reinforcement Learning Control
Author:
Affiliation:
1. Ghent University,D2LAB, Dept. of Electromechanical, Systems and Metal Engineering,Ghent,Belgium,9052
2. VITO, Flemish Insitute for Technological Research,Mol,Belgium,2400
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10553376/10553404/10553555.pdf?arnumber=10553555
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4. Model-predictive control and reinforcement learning in multi-energy system case studies
5. Model Predictive Control with a Cascaded Hammerstein Neural Network of a Wind Turbine Providing Frequency Containment Reserve
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