Deep Reinforcement Learning for Smart Energy Networks
(2023)
Thesis
Harrold, D. J. B. (2023). Deep Reinforcement Learning for Smart Energy Networks. (Thesis). Keele University
To reduce global greenhouse gas emissions, the world must find intelligent solutions to maximise the utilisation of carbon-free renewable energy sources (RES). Energy storage systems (ESS) can be used to store energy when RES generation exceeds deman... Read More about Deep Reinforcement Learning for Smart Energy Networks.