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

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...

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Main Authors: Ammar, Naji, Sulaiman, Marizan, Mohamad Nor, Ahmad Fateh
Format: Article
Language:English
Published: Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM) 2017
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Online Access:http://eprints.uthm.edu.my/2458/1/AJ%202019%20%2824%29.pdf
http://eprints.uthm.edu.my/2458/
https://jtec.utem.edu.my/jtec/article/view/1560
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Institution: Universiti Tun Hussein Onn Malaysia
Language: English
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spelling my.uthm.eprints.24582021-10-20T03:20:45Z http://eprints.uthm.edu.my/2458/ Analysis load forecasting of power system using fuzzy logic and artificial neural network Ammar, Naji Sulaiman, Marizan Mohamad Nor, Ahmad Fateh TK3001-3521 Distribution or transmission of electric power 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. Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM) 2017 Article PeerReviewed text en http://eprints.uthm.edu.my/2458/1/AJ%202019%20%2824%29.pdf 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 https://jtec.utem.edu.my/jtec/article/view/1560
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic TK3001-3521 Distribution or transmission of electric power
spellingShingle TK3001-3521 Distribution or transmission of electric power
Ammar, Naji
Sulaiman, Marizan
Mohamad Nor, Ahmad Fateh
Analysis load forecasting of power system using fuzzy logic and artificial neural network
description 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.
format Article
author Ammar, Naji
Sulaiman, Marizan
Mohamad Nor, Ahmad Fateh
author_facet Ammar, Naji
Sulaiman, Marizan
Mohamad Nor, Ahmad Fateh
author_sort Ammar, Naji
title Analysis load forecasting of power system using fuzzy logic and artificial neural network
title_short Analysis load forecasting of power system using fuzzy logic and artificial neural network
title_full Analysis load forecasting of power system using fuzzy logic and artificial neural network
title_fullStr Analysis load forecasting of power system using fuzzy logic and artificial neural network
title_full_unstemmed Analysis load forecasting of power system using fuzzy logic and artificial neural network
title_sort analysis load forecasting of power system using fuzzy logic and artificial neural network
publisher Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM)
publishDate 2017
url http://eprints.uthm.edu.my/2458/1/AJ%202019%20%2824%29.pdf
http://eprints.uthm.edu.my/2458/
https://jtec.utem.edu.my/jtec/article/view/1560
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