Five-component load forecast in residential sector using smart methods
Joint Authors
Al-Bayati, Jalal Hatim Husayn
al-Hafiz, Majid S. M.
al-Nasiri, Yamamah A. I.
Source
The Iraqi Journal of Electrical and Electronic Engineering
Issue
Vol. 18, Issue 1 (30 Jun. 2022), pp.132-138, 7 p.
Publisher
University of Basrah College of Engineering
Publication Date
2022-06-30
Country of Publication
Iraq
No. of Pages
7
Main Subjects
Topics
Abstract EN
The electrical load is affected by the weather conditions in many countries as well as in iraq.
the weather-sensitive electrical load is, usually, divided into two components, a weather-sensitive component, and a weather-insensitive component.
the research provides a method for separating the weather-sensitive electrical load into five components.
and aims to prove the efficiency of the five-component load forecasting model.
the artificial neural network was used to predict the weather-sensitive electrical load using the matlab R17A software.
weather data and loads were used for one year for Mosul city.
the performance of the artificial neural network was evaluated using the mean squared error and the mean absolute percentage error.
the results indicate the accuracy of the prediction model used, MAPE equal to 0.0402.
American Psychological Association (APA)
al-Nasiri, Yamamah A. I.& Al-Bayati, Jalal Hatim Husayn& al-Hafiz, Majid S. M.. 2022. Five-component load forecast in residential sector using smart methods. The Iraqi Journal of Electrical and Electronic Engineering،Vol. 18, no. 1, pp.132-138.
https://search.emarefa.net/detail/BIM-1380216
Modern Language Association (MLA)
Al-Bayati, Jalal Hatim Husayn…[et al.]. Five-component load forecast in residential sector using smart methods. The Iraqi Journal of Electrical and Electronic Engineering Vol. 18, no. 1 (Jun. 2022), pp.132-138.
https://search.emarefa.net/detail/BIM-1380216
American Medical Association (AMA)
al-Nasiri, Yamamah A. I.& Al-Bayati, Jalal Hatim Husayn& al-Hafiz, Majid S. M.. Five-component load forecast in residential sector using smart methods. The Iraqi Journal of Electrical and Electronic Engineering. 2022. Vol. 18, no. 1, pp.132-138.
https://search.emarefa.net/detail/BIM-1380216
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 137-138
Record ID
BIM-1380216