JARINGAN SYARAF TIRUAN SEBAGAI METODE PERAMALAN BEBAN LISTRIK HARIAN DI PT. PISMATEX PEKALONGAN
ABSTRACT: Load electricity
forecasting of industry can provide an information support to the Top
Management and other stakeholders in terms of estimating and monitoring the
power requirements and effort in providing it. With the artificial neural
network method as an electrical load forecasting method using the short-term
power load forecasting in the industrial sector, is expected load forecasting
in this study had an average error is small.
Research on the daily electricity load forecasting in PT. Pismatex
Pekalongan using neural networks with daily electricity load data per hour for
one week study. The Result of this study is MAPE of 7.23%.
Penulis: M. Subhan Maulidin,
Luqman Assaffat
Kode Jurnal: jptlisetrodd140613
