General Information
    • ISSN: 1793-821X
    • Frequency: Quarterly (2013-2014); Bimonthly (Since 2015)
    • DOI: 10.18178/JOCET
    • Editor-in-Chief: Prof. Haider F. Abdul Amir
    • Executive Editor: Ms. Julia S. Ma
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Chemical Abstracts Services (CAS), Ulrich's Periodicals Directory, Google Scholar, ProQuest and DOAJ.
    • E-mail: jocet@ejournal.net
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Editor-in-chief
School of Science and Technology Universiti Malaysia Sabah, Malaysia.
I would like to express my appreciation to all authors, reviewers and edtors.
JOCET 2014 Vol.2(4): 305-309 ISSN: 1793-821X
DOI: 10.7763/JOCET.2014.V2.145

Factor Affecting Short Term Load Forecasting

Muhammad Usman Fahad and Naeem Arbab
Abstract—The basic objective of short term load forecasting is to predict the near future load for example next hour load prediction or next day load prediction etc. The total system load is the load seen at the generating end of the power system, which includes the sum of all types of loads connected to the system plus the losses. To design efficient and accurate forecasting model one must have good understanding of the characteristics of the system. There are various factors which influence the behavior of the consumer load and also impact the total losses in transmission lines. These factors can be categorized as Time factor, weather, economy and random disturbances. In this research paper these factors and their impact on consumption of electric power and their significance in short term load forecasting is evaluated.

Index Terms—ANN, factors of STLF, load forecasting, load prediction.

Muhammad Usman Fahad is with the University of Engineering and Technology, Peshawar, Pakistan (e-mail: usman_fahad4@ hotmail.com).
Naeem Arbab is with the Electrical Engineering Department of University of Engineering and Technology, Peshawar, Pakistan (e-mail: mnarbab01@yahoo.com).

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Cite:Muhammad Usman Fahad and Naeem Arbab, "Factor Affecting Short Term Load Forecasting," Journal of Clean Energy Technologies vol. 2, no. 4, pp. 305-309, 2014.

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