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PERAMALAN BEBAN PUNCAK LISTRIK JANGKA PENDEK MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN BACKPROPAGATION

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Penilaian

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Indonesia is a developing country with all the developments in every sector and is also supported by technological advances. Without an exact formula that can determine the magnitude of the electrical load at any time, what can be done is to predict the electrical load. The load forecasting method discussed in this thesis is the Backpropagation Artificial Neural Network (ANN) method. After the simulation, a comparison is made between the forecast results by the Backpropagation Neural Network and the load coefficient results showing that the average error with the Backpropagation ANN method for the first until fourth weeks reaches 1.89% with an accuracy of 98.11% and the average error of the load coefficient method for the first and second weeks reached 4.51% with an accuracy of 95.49%. These results indicate that the Backpropagation ANN forecasting is better than the load coefficient method

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307001544	T95928	T959282023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T959282023

Publisher

Inderalaya : Prodi Teknik Elektro, Fakultas Teknik Universitas Sriwijaya., 2023

Collation

x, 44 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

621.312 07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi Teknik Elektro
Pembangkit, Modifikasi, Penyimpanan Tenaga Listrik

Specific Detail Info

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Statement of Responsibility

SEPTA

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