Bayu, Krisna (2024) ANALISIS PRAKIRAAN BEBAN ENERGI LISTRIK SAMPAI TAHUN 2028 PT KRAKATAU DAYA LISTRIK MENGGUNAKAN JARINGAN SYARAF TIRUAN. S1 thesis, Faculty of Engineering, Sultan Ageng Tirtayasa University.
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Abstract
Electrical energy load forecasting plays an important role in electric utilities. PT Krakatau Daya Listrik as an electricity service provider can implement the right policies in the future. In this study, an analysis was carried out to obtain the demand for electrical energy loads in the Krakatau Steel (KS), Krakatau Steel Group (KSG) sector, and in general in 2023 s.d. 2028 using an Artificial Neural Network to obtain the best model using trainlm with epoch 2000, Neuron 8, and learning rate 0,001. Using data on production patterns, connection data, and energy sales data, the MAPE results are 15,72%. The MAPE results are included in the good category.
| Item Type: | Thesis (S1) | |||||||||
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| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
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| Divisions: | 03-Fakultas Teknik > 20201-Jurusan Teknik Elektro | |||||||||
| Depositing User: | KRISNA BAYU KRISNA BAYU | |||||||||
| Date Deposited: | 12 Jul 2024 17:29 | |||||||||
| Last Modified: | 15 Jul 2024 16:18 | |||||||||
| URI: | http://eprints.untirta.ac.id/id/eprint/38268 |
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