Deep Learning for Forecasting-Based Applications in Cyber–Physical Microgrids: Recent Advances and Future Directions

Deep Learning for Forecasting-Based Applications in Cyber–Physical Microgrids: Recent Advances and Future Directions

Renewable energy resources can be deployed locally and efficiently using the concept of microgrids. Due to the natural uncertainty of the output power of renewable energy resources, the planning for a proper operation of microgrids can be a challenging task. In addition, the information about the lo...

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Bibliographic Details
Main Authors: Mohammad Reza Habibi, Saeed Golestan, Josep M. Guerrero, Juan C. Vasquez
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Electronics
Subjects:
artificial intelligence
deep learning
artificial neural networks
cyber–physical microgrids
load forecasting
renewable energy resources
Online Access:https://www.mdpi.com/2079-9292/12/7/1685

Internet

https://www.mdpi.com/2079-9292/12/7/1685

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