Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Nisa, Tia Choirun
Siregar, Riki Ruli A
Suliyanti, Widya Nita
Subject
Teknik Informatika
Datestamp
2022-09-22 06:20:08
Abstract :
In this research, Cengkareng substation serves the burden which in every
year is increasing. So in this study a system of estimating the load power at the
substation was made as a result of forecasting for the following year using the
Time Series Decomposition model method which was then analyzed from the
existing transformer capacity. The Time Series Decomposition model method is
a method of combining Trend, Seasonal and Cycle to predict the electrical load
power of a substation. In this study, the development of the system uses the
CRISP-DM method so that the work becomes more ordered and the testing is
done with MAD, MSE and MAPE to verify the error value in the forecasting
results. From this study, it produces an error value of MAD and MAPE of 9.11%.
These results, prove that the Time Series Decomposition model method can be
used to assist in estimating the Power Load in Cengkareng Substation.