Short-Term Load Forecasting in Distribution Substation Using Autoencoder and Radial Basis Function Neural Networks: A Case Study in India

Electric load forecasting is an essential task for Distribution System Operators in order to achieve proper planning, high integration of small-scale production from renewable energy sources, and to define effective marketing strategies. In this framework, machine learning and data dimensionality re...

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Váldodahkkit:	Venkataramana Veeramsetty, Prabhu Kiran Konda, Rakesh Chandra Dongari, Surender Reddy Salkuti
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	MDPI AG 2025-03-01
Ráidu:	Computation
Fáttát:	radial basis function neural network autoencoder electric power load forecasting machine learning
Liŋkkat:	https://www.mdpi.com/2079-3197/13/3/75
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