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Dynamic simulation of electricity supply and demand for industry sector in East Java

  • Institut Teknologi Sepuluh Nopember

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

4 Citations (Scopus)

Abstract

Electricity is a main need for industrial sector to run it self. It is very important to know the quantity of electricity demand in the future. It could be managed to be as efficient as possible and obtain advantage from it. This research develops electricity model to estimates electricity demand growth on industrial sector in East Java using dynamic simulation approach. Dynamic simulation is employed to explore dynamic behavior of the existing and future electricity demand based on three scenarios. First scenario is normal GDP growth condition or most likely model, second scenario is increased 6% GDP growth per year or optimist model, and third scenario is decreased 6% GDP growth per year or pessimistic model. Dynamic simulation will be combined with econometric method to find the GDP and electricity demand relation in order to forecast electricity demand. The dynamic simulation forecast of electricity demand has a less error than DKL 3.2 method, since econometric method separates several types of industry GDP to forecast electricity demand per tariff whereas DKL 3.2 method only utilizes total GDP to forecast all tariff of electricity demand. The result of this research can be used as guidance for planning the industrial sector electricity supply in East Java. Furthermore, this research can be used to develop a flexible scenario for further electricity forecasting.

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
EditorsLala Septem Riza, Andri Pranolo, Aji Prasetyo Wibawa, Enjun Junaeti, Yaya Wihardi, Ummi Raba'ah Hashim, Shi-Jinn Horng, Rafal Drezewski, Heui Seok Lim, Goutam Chakraborty, Leonel Hernandez, Shah Nazir
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages290-295
Number of pages6
ISBN (Electronic)9781509058662
DOIs
Publication statusPublished - 1 Jul 2017
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
Country/TerritoryIndonesia
CityBandung
Period25/10/1726/10/17

Keywords

  • East Java
  • dynamic simulation
  • electricity
  • forecasting
  • industry

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