Machine learning based load prediction in smart‐grid under different contract scenario

Machine learning based load prediction in smart‐grid under different contract scenario

Abstract Many progressed information scientific strategies, particularly Artificial Intelligence (AI) and profound learning methods, have been proposed and tracked down wide applications in our general public. This proposition creates information driven arrangements by utilizing the most recent prof...

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Bibliographic Details
Main Authors: Piyush Kumar Yadav, Rajnish Bhasker, Albert Alexander Stonier, Geno Peter, Arun Vijayakumar, Vivekananda Ganji
Format: Article
Language:English
Published: Wiley 2023-04-01
Series:IET Generation, Transmission & Distribution
Subjects:
artificial intelligence
load forecasting
machine learning
micro‐grid
smart grid
Online Access:https://doi.org/10.1049/gtd2.12828

Internet

https://doi.org/10.1049/gtd2.12828

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