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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Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM)
2017
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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 |
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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 |
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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. |
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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 |
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Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM) |
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2017 |
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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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