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primary topic: Laboratory prediction energy control system based on artificial intelligence network

Laboratory prediction energy control system based on artificial intelligence network
type: AcademicArticle
type: Article
abstract: The use of electrical energy increases globally every year. The laboratory prediction energy control system (LPECS) predicted energy demand. This research was conducted in the Electrical Engineering Vocational Education laboratory by comparing the artificial neural fuzzy system (ANFIS) with the fuzzy logic. The comparison of methods aimed to determine their reliability in the energy demand prediction systems. The results showed that the minimum value of the target data using the conventional method (actual data) was 44.42. Meanwhile, the prediction data using the ANFIS method was 44.33, and the prediction data using the fuzzy method was 59.31. The maximum value of the conventional ways (actual data) of ANFIS and fuzzy was similar by 77.59. The RMSE ANFIS value was 0.1355, the mean absolute percentage error (MAPE) was 0.2791, and the fuzzy logic was 0.1986. Thus, the ANFIS is applicable to determine the minimum and maximum values. Meanwhile, fuzzy can only show the maximum value but cannot reach the minimum value properly. © 2022, Institute of Advanced Engineering and Science. All rights reserved.
date: 2022
volume: 11
issue: 3
is part of: Bulletin of Electrical Engineering and Informatics
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository

Institute of Advanced Engineering and Science
type: Organization

Bulletin of Electrical Engineering and Informatics
type: Collection
issn: 20893191

Mohd Ruzaini Hashim
type: Person
given name: Mohd Ruzaini
family name: Hashim

Desmira
type: Person
family name: Desmira

Romi Wiryadinata
type: Person
given name: Romi
family name: Wiryadinata

Mustofa Abi Hamid
type: Person
given name: Mustofa Abi
family name: Hamid

Norazhar Abu Bakar
type: Person
given name: Norazhar Abu
family name: Bakar

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primary topic: Laboratory prediction energy control system based on artificial intelligence network