Deep Reinforcement Learning for Smart Energy Networks
(2023)
Thesis
Harrold, D. J. B. Deep Reinforcement Learning for Smart Energy Networks. (Thesis). Keele University. https://keele-repository.worktribe.com/output/530054
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.