Short term load forecasting of Eid Al Fitr holiday by using interval Type-2 Fuzzy Inference System (Case study: Electrical system of Java Bali in Indonesia)

Jamaaluddin, Imam Robandi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

Holiday of Eid Al Fitr causing decreased demand of electrical energy until 28.66% in case of Java Bali electricity system in Indonesia. The reduction of electrical demand needs to be known because it related to the efficiency of generation power system. Forecasting methods used in this research is IT-2 FIS. By analyzing the peak load on the day and 4 days before Eid Al Fitr in the previous year continued analysis by using IT-2 FIS will be obtained at the peak load forecasting Eid Al-Fitr in the coming year. The accuracy of this method is shown with the average of error value in 2012, 2013 and 2014 amounting to 0,2431%. This value is better than using the IT-1 FIS which has a value of error amounting to 0.3026%. The research concluded that IT-2 FIS has a value of error smaller than IT-1 FIS.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE Region 10 Symposium, TENSYMP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages237-242
Number of pages6
ISBN (Electronic)9781509009312
DOIs
Publication statusPublished - 22 Jul 2016
Event2016 IEEE Region 10 Symposium, TENSYMP 2016 - Bali, Indonesia
Duration: 9 May 201611 May 2016

Publication series

NameProceedings - 2016 IEEE Region 10 Symposium, TENSYMP 2016

Conference

Conference2016 IEEE Region 10 Symposium, TENSYMP 2016
Country/TerritoryIndonesia
CityBali
Period9/05/1611/05/16

Keywords

  • Eid Al Fitr
  • Short Term Load Forecasting
  • Type-2 Fuzzy Inference System

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