Classification of electricity load forecasting based on the factors influencing the load consumption and methods used

An-overview

M. Mustapha, M. W. Mustafa, S. N. Khalid, I. Abubakar, H. Shareef

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Electrical energy consumption is affected by many parameters. These includes the variables related to power system itself, weather and climatic factors and socio-economic being of the energy consumers. In this paper, two components of load forecasting are classified. The parameters that influence the energy consumption and the methods used to forecast the energy consumption are reviewed. It is observed that, many factors have great influence on the energy consumption, and the forecasting accuracy depends on the amount of data used. Also the methods applied contribute in the forecasting accuracy and complexity of the method. It is therefore important to use large data, and apply an appropriate method (technique) while forecasting electrical energy. A lot of methods are reviewed, from time series method to artificial intelligence with varying parameters, most of which are weather related, demography of the area, economy class of the consumers and the history of electrical energy consumed.

Original languageEnglish
Title of host publication2015 IEEE Conference on Energy Conversion, CENCON 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages442-447
Number of pages6
ISBN (Print)9781479985982
DOIs
Publication statusPublished - 16 Feb 2016
Externally publishedYes
Event2nd IEEE Conference on Energy Conversion, CENCON 2015 - Johor Bahru, Malaysia
Duration: 19 Oct 201520 Oct 2015

Other

Other2nd IEEE Conference on Energy Conversion, CENCON 2015
CountryMalaysia
CityJohor Bahru
Period19/10/1520/10/15

Fingerprint

Energy utilization
Electricity
Artificial intelligence
Time series
History
Economics

Keywords

  • Classification
  • Load consumption
  • load factors
  • Load forecasting methods

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Mustapha, M., Mustafa, M. W., Khalid, S. N., Abubakar, I., & Shareef, H. (2016). Classification of electricity load forecasting based on the factors influencing the load consumption and methods used: An-overview. In 2015 IEEE Conference on Energy Conversion, CENCON 2015 (pp. 442-447). [7409585] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CENCON.2015.7409585

Classification of electricity load forecasting based on the factors influencing the load consumption and methods used : An-overview. / Mustapha, M.; Mustafa, M. W.; Khalid, S. N.; Abubakar, I.; Shareef, H.

2015 IEEE Conference on Energy Conversion, CENCON 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 442-447 7409585.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mustapha, M, Mustafa, MW, Khalid, SN, Abubakar, I & Shareef, H 2016, Classification of electricity load forecasting based on the factors influencing the load consumption and methods used: An-overview. in 2015 IEEE Conference on Energy Conversion, CENCON 2015., 7409585, Institute of Electrical and Electronics Engineers Inc., pp. 442-447, 2nd IEEE Conference on Energy Conversion, CENCON 2015, Johor Bahru, Malaysia, 19/10/15. https://doi.org/10.1109/CENCON.2015.7409585
Mustapha M, Mustafa MW, Khalid SN, Abubakar I, Shareef H. Classification of electricity load forecasting based on the factors influencing the load consumption and methods used: An-overview. In 2015 IEEE Conference on Energy Conversion, CENCON 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 442-447. 7409585 https://doi.org/10.1109/CENCON.2015.7409585
Mustapha, M. ; Mustafa, M. W. ; Khalid, S. N. ; Abubakar, I. ; Shareef, H. / Classification of electricity load forecasting based on the factors influencing the load consumption and methods used : An-overview. 2015 IEEE Conference on Energy Conversion, CENCON 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 442-447
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