Staff View: Electricity Forecasting for Small Scale Power System Using Artificial Neural Network

Electricity Forecasting for Small Scale Power System Using Artificial Neural Network

Short term load forecasting (STLF) method is the basis of efficient operation for power system. It has an important role in planning and operation of power system. In this paper, a practical STLF using artificial neural network method (ANN) for Gas District Cooling (GDC) power plant of Universit...

Full description

Saved in:

Bibliographic Details
Main Authors:	Khamis, M.F.I., Baharudin , Z., Hamid, N.H., Abdullah, M. F., Solahuddin, S.
Format:	Conference or Workshop Item
Published:	2011
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utp.edu.my/6743/1/peoco_june_2011.pdf http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5970423 http://eprints.utp.edu.my/6743/
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.utp.eprints.6743
record_format	eprints
spelling	my.utp.eprints.67432017-01-19T08:22:38Z Electricity Forecasting for Small Scale Power System Using Artificial Neural Network Khamis, M.F.I. Baharudin , Z. Hamid, N.H. Abdullah, M. F. Solahuddin, S. TK Electrical engineering. Electronics Nuclear engineering Short term load forecasting (STLF) method is the basis of efficient operation for power system. It has an important role in planning and operation of power system. In this paper, a practical STLF using artificial neural network method (ANN) for Gas District Cooling (GDC) power plant of Universiti Teknologi PETRONAS (UTP) is presented. As a sole customer of GDC power plant, the load data from 2006 till 2009 are gathered and utilized for model developments. The developed models forecast electricity load for one week ahead. The paper proposes a method of a multilayer perceptron neural network and it is trained and simulated by using MATLAB. The models have been tested with the actual load data and perform relatively good results. 2011-06-07 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/6743/1/peoco_june_2011.pdf http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5970423 Khamis, M.F.I. and Baharudin , Z. and Hamid, N.H. and Abdullah, M. F. and Solahuddin, S. (2011) Electricity Forecasting for Small Scale Power System Using Artificial Neural Network. In: Fifth International Power Engineering and Optimization Conference (PEOCO2011), 6th - 7th June 2011, Shah Alam, Selangor Malaysia. http://eprints.utp.edu.my/6743/
institution	Universiti Teknologi Petronas
building	UTP Resource Centre
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Petronas
content_source	UTP Institutional Repository
url_provider	http://eprints.utp.edu.my/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Khamis, M.F.I. Baharudin , Z. Hamid, N.H. Abdullah, M. F. Solahuddin, S. Electricity Forecasting for Small Scale Power System Using Artificial Neural Network
description	Short term load forecasting (STLF) method is the basis of efficient operation for power system. It has an important role in planning and operation of power system. In this paper, a practical STLF using artificial neural network method (ANN) for Gas District Cooling (GDC) power plant of Universiti Teknologi PETRONAS (UTP) is presented. As a sole customer of GDC power plant, the load data from 2006 till 2009 are gathered and utilized for model developments. The developed models forecast electricity load for one week ahead. The paper proposes a method of a multilayer perceptron neural network and it is trained and simulated by using MATLAB. The models have been tested with the actual load data and perform relatively good results.
format	Conference or Workshop Item
author	Khamis, M.F.I. Baharudin , Z. Hamid, N.H. Abdullah, M. F. Solahuddin, S.
author_facet	Khamis, M.F.I. Baharudin , Z. Hamid, N.H. Abdullah, M. F. Solahuddin, S.
author_sort	Khamis, M.F.I.
title	Electricity Forecasting for Small Scale Power System Using Artificial Neural Network
title_short	Electricity Forecasting for Small Scale Power System Using Artificial Neural Network
title_full	Electricity Forecasting for Small Scale Power System Using Artificial Neural Network
title_fullStr	Electricity Forecasting for Small Scale Power System Using Artificial Neural Network
title_full_unstemmed	Electricity Forecasting for Small Scale Power System Using Artificial Neural Network
title_sort	electricity forecasting for small scale power system using artificial neural network
publishDate	2011
url	http://eprints.utp.edu.my/6743/1/peoco_june_2011.pdf http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5970423 http://eprints.utp.edu.my/6743/
_version_	1738655517974200320
score	13.211869

Electricity Forecasting for Small Scale Power System Using Artificial Neural Network

Similar Items