Hartono, Hartono and Suhendar, Suhendar and Iskana, Yudha and Muhami, Yusraini (2022) Electricity Demand Forecasting by Using Modified Fuzzy Logic. ISSRA JOURNAL OF EDUCATION, LINGUISTICS and LITERATURE, 2 (1). pp. 15-27. ISSN 2583-102X

	Text (Hasil Uji Similarity) 2. Electricity Demand Forecasting 16%.pdf - Published Version Download (2MB)
	Text 2 Electricity Demand.pdf - Published Version Download (841kB)

Abstract

Abstract: This study aims to forecast long-term electrical energy demand in Banten Province in 2020-2030 using modified fuzzy logic as an effort to ensure a balance between demand and supply of electrical energy and reduce the risk of an energy crisis in the future as a result of economic growth and development. rapid population. The modification made in this study lies in the way of forming fuzzy rules based on historical electricity data for 2010-2019, so that fuzzy logic has fewer rules and is more effective. In this study, it was found that modified fuzzy logic has a good forecasting ability with an average error of 13,63% and 17,04%, respectively on the historical data of 2010-2019 and the actual data of 2020 and also have an average accuracy of 97,22% for the overall forecast and 97,01% for the combined sectoral forecast against RUPTL. Keywords: fuzzy logic, energy forecasting, fuzzy rules, fuzzy modification

Item Type:	Article
Uncontrolled Keywords:	fuzzy logic, energy forecasting, fuzzy rules, fuzzy modification
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	03-Fakultas Teknik 03-Fakultas Teknik > 20201-Jurusan Teknik Elektro
Depositing User:	Perpustakaan Pusat
Date Deposited:	08 Sep 2022 13:09
Last Modified:	09 Sep 2022 10:40
URI:	http://eprints.untirta.ac.id/id/eprint/15554

Actions (login required)

View Item