UTHM Institutional Repository

Analysis load forecasting of power system using fuzzy logic and artificial neural network

Ammar, Naji and Sulaiman, Marizan and Mohamad Nor, Ahmad Fateh (2017) Analysis load forecasting of power system using fuzzy logic and artificial neural network. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9 (3). pp. 181-192. ISSN 22898131

Full text not available from this repository.


Load forecasting is a vital element in the energy management of function and execution purpose throughout the energy power system. Power systems problems are complicated to solve because power systems are huge complex graphically widely distributed and are influenced by many unexpected events. This paper presents the analysis of load forecasting using fuzzy logic (FL), artificial neural network (ANN) and ANFIS. These techniques are utilized for both short term and long-term load forecasting. ANN and ANFIS are used to improve the results obtained through the FL. It also studied the effects of humidity, temperature and previous load on Load Forecasting. The simulation is done by the Simulink environment of MATLAB software.

Item Type: Article
Uncontrolled Keywords: ANFIS; artificial neural networks (ANN); fuzzy logic (FL); load forecasting
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001-1841 Production of electric energy or power. Powerplants. Central stations
Divisions: Faculty of Electrical and Electronic Engineering > Department of Electrical Power Engineering
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 30 Sep 2019 02:58
Last Modified: 30 Sep 2019 02:58
URI: http://eprints.uthm.edu.my/id/eprint/11533
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item