Data mining approach for short term load forecasting by combining wavelet transform and group method of data handling (WGMDH)

Trisna Yuniarti, Isti Surjandari Prajitno, Erlinda Muslim, Enrico Laoh

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

4 Citations (Scopus)

Abstract

Forecasting is one of the essential activities at the electrical power company. Inaccurate forecasting will lead to wastage of operating costs. Data mining has been widely used to solve the problem of forecasting. In this study, we propose a method using data mining technique for doing electrical load forecasting, which is a combination of wavelet transform and group method of data handling (WGMDH). The proposed algorithm is used to predict the short-term power load which aims to improve the accuracy of forecasting. The results show that by using proposed algorithm better accuracy is achieved compared with the coefficient method which is used by Indonesian Power Company in Sumatera to forecast the electrical load. The method can improve the forecasting of electricity on average above 50% per year, both for the type of similar day and daily electricity load characteristic pattern.

Original languageEnglish
Title of host publicationProceeding - 2017 3rd International Conference on Science in Information Technology
Subtitle of host publicationTheory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017
EditorsRafal Drezewski, Goutam Chakraborty, Shah Nazir, Lala Septem Riza, Ummi Raba'ah Hashim, Aji Prasetyo Wibawa, Yaya Wihardi, Andri Pranolo, Enjun Junaeti, Shi-Jinn Horng, Heui Seok Lim, Leonel Hernandez
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages53-58
Number of pages6
ISBN (Electronic)9781509058662
DOIs
Publication statusPublished - 12 Jan 2018
Event3rd International Conference on Science in Information Technology, ICSITech 2017 - Bandung, Indonesia
Duration: 25 Oct 201726 Oct 2017

Publication series

NameProceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017
Volume2018-January

Conference

Conference3rd International Conference on Science in Information Technology, ICSITech 2017
CountryIndonesia
CityBandung
Period25/10/1726/10/17

Keywords

  • classification
  • gmdh
  • load forecasting
  • stlf
  • wavelet transform

Fingerprint Dive into the research topics of 'Data mining approach for short term load forecasting by combining wavelet transform and group method of data handling (WGMDH)'. Together they form a unique fingerprint.

Cite this