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

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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Bibliographic Details
Main Authors:	Venkataramana Veeramsetty, Prabhu Kiran Konda, Rakesh Chandra Dongari, Surender Reddy Salkuti
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Series:	Computation
Subjects:	radial basis function neural network autoencoder electric power load forecasting machine learning
Online Access:	https://www.mdpi.com/2079-3197/13/3/75
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