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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2079-3197/13/3/75

Similar Items