Risk-Aware Energy Scheduling for Edge Computing With Microgrid: A Multi-Agent Deep Reinforcement Learning Approach

Title
Risk-Aware Energy Scheduling for Edge Computing With Microgrid: A Multi-Agent Deep Reinforcement Learning Approach
Authors
Keywords
-
Journal
IEEE Transactions on Network and Service Management
Volume 18, Issue 3, Pages 3476-3497
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2021-01-06
DOI
10.1109/tnsm.2021.3049381

Ask authors/readers for more resources

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now