Dispatch of decentralized energy systems using artificial neural networks: A comparative analysis with emphasis on training methods

Dispatch of decentralized energy systems using artificial neural networks: A comparative analysis with emphasis on training methods

Due to the availability of flexibility, Decentralized Energy Systems (DES) play a central role in integrating renewable energies. To efficiently utilize renewable energy, dispatchable components must be operated to bridge the time gap between inflexible supply and energy demand. Due to the large num...

Full description

Saved in:
Bibliographic Details
Main Authors: Lukas Koenemann, Astrid Bensmann, Johannes Gerster, Richard Hanke-Rauschenbach
Format: Article
Language:English
Published: Elsevier 2024-10-01
Series:Energy Conversion and Management: X
Subjects:
Decentralized energy systems
Artificial neural network
Smart dispatch strategies
Online Access:http://www.sciencedirect.com/science/article/pii/S2590174524002083
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items