Reinforcement learning for control of flexibility providers in a residential microgrid
The smart grid paradigm and the development of smart meters have led to the availability of large volumes of data. This data is expected to assist in power system planning/operation and the transition from passive to active electricity users. With recent advances in machine learning, this data can b...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2019-09-01
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Series: | IET Smart Grid |
Subjects: | |
Online Access: | https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2019.0196 |