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 2180 – 1843

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Abstract

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:	NIL
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3001-3521 Distribution or transmission of electric power
Divisions:	Faculty of Electrical and Electronic Engineering > Department of Electrical Engineering
Depositing User:	Miss Afiqah Faiqah Mohd Hafiz
Date Deposited:	20 Oct 2021 03:20
Last Modified:	20 Oct 2021 03:20
URI:	http://eprints.uthm.edu.my/id/eprint/2458

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