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185481

A New Regression Model for Short Term Load Forecasting.

Article

Last updated: 22 Jan 2023

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Subjects

-

Tags

Electrical Engineering

Abstract

 This paper presents a suggested regression model for short term load forecasting. The different factors affecting the hourly load demand are analysed and taken into consideration. With special regard to weather sensitive load, a detailed study is made to have the accurate correlation factors between the load and the different weather parameters. An application of the proposed model on actual data bank is made. The length of historical past data used is three months for forecasting the hourly load demand. Comparing the resulted obtained with the actual values, the percentage absolute error given by the proposed model do not exceed 5%. This value of % error issatisfactory and represents high accuracy in forecasting the load domand. 

DOI

10.21608/bfemu.2021.185481

Authors

First Name

Mohamed

Last Name

Mohamed Tantawy

MiddleName

Abd El-Moniem

Affiliation

Associate Professor., Electrical Power & Machines Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

mtantawi@mans.edu.eg

City

Mansoura

Orcid

-

Volume

2

Article Issue

2

Related Issue

26756

Issue Date

1977-12-01

Receive Date

1977-10-10

Publish Date

1977-12-01

Page Start

1

Page End

13

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 2_Issue 2_Pages 1-13.pdf

PDF . 94.9kB

Link

https://bfemu.journals.ekb.eg/article_185481.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=185481

Order

16

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023