Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning (2022)

First Author: Harrold D
Attributed to:  Energy Revolution Research Consortium - Core - EnergyREV funded by ISCF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.apenergy.2022.119151

Publication URI: http://dx.doi.org/10.1016/j.apenergy.2022.119151

Type: Journal Article/Review

Parent Publication: Applied Energy