A Platform Independent Web-Application for Short-Term Electric Power Load Forecasting on a 33/11 kV Substation Using Regression Model

A Platform Independent Web-Application for Short-Term Electric Power Load Forecasting on a 33/11 kV Substation Using Regression Model

Short-term electric power load forecasting is a critical and essential task for utilities of the electric power industry for proper energy trading and that enable the independent system operator to operate the network without any technical and economical issues. In this paper, machine learning model...

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Bibliographic Details
Main Authors: Venkataramana Veeramsetty, Gudelli Sushma Vaishnavi, Modem Sai Pavan Kumar, Prabhu Kiran, Nagula Sumanth, Potharaboina Prasanna, Surender Reddy Salkuti
Format: Article
Language:English
Published: VSB-Technical University of Ostrava 2022-01-01
Series:Advances in Electrical and Electronic Engineering
Subjects:
day ahead forecasting
hourly ahead forecasting
linear regression model
load forecasting
web application.
Online Access:http://advances.utc.sk/index.php/AEEE/article/view/4561

Internet

http://advances.utc.sk/index.php/AEEE/article/view/4561

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