Data-driven optimal energy management for a wind-solar-diesel-battery-reverse osmosis hybrid energy system using a deep reinforcement learning approach

Title
Data-driven optimal energy management for a wind-solar-diesel-battery-reverse osmosis hybrid energy system using a deep reinforcement learning approach
Authors
Keywords
Hybrid energy system, Energy management, Information entropy theory, Cost reduction, Deep reinforcement learning
Journal
ENERGY CONVERSION AND MANAGEMENT
Volume 227, Issue -, Pages 113608
Publisher
Elsevier BV
Online
2020-11-05
DOI
10.1016/j.enconman.2020.113608

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Create your own webinar

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

Create Now