PREDIKSI KEBUTUHAN ENERGI LISTRIK SULAWESI UTARA MENGGUNAKAN ARTIFICIAL NEURAL NETWORK DAN METODE EXPONENTIAL SMOOTHING
ABSTRACT: To predict the
electrical energy need of North Sulawesi for one year ahead requires correct
methods. The reliable methods used for the prediction task in this research are
Artificial Neural Network and Exponential Smoothing.
The prediction results using Artificial Neural Network are 110.38,
112.62, 111.56, 108.05, 107.95, 110.32, 109.90, 110.58, 113.26, 107.11, 115.60,
105.40 GWh. The prediction results using Exponential Smoothing are 112.32,
112.70, 113.07, 113.45, 113.82, 114.19, 114.57, 114.94, 115.32, 115.69, 116.07,
116.44 GWh.
Penulis: Febry Aprily Hontong,
Tritiya Arungpadang, Johan S C Neyland
Kode Jurnal: jptmesindd160219
