A Scalable Privacy-Preserving Multi-Agent Deep Reinforcement Learning Approach for Large-Scale Peer-to-Peer Transactive Energy Trading (2021)
Attributed to:
Integrated Development of Low-Carbon Energy Systems (IDLES): A Whole-System Paradigm for Creating a National Strategy
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1109/tsg.2021.3103917
Publication URI: http://dx.doi.org/10.1109/tsg.2021.3103917
Type: Journal Article/Review
Parent Publication: IEEE Transactions on Smart Grid
Issue: 6