Long-term Load Forecasting Using Fuzzy Logic
M. Nur. Tastaftyan, A. Gaffar Abdullah, M. Somantri
Teknik Elektro, FPTK, Universitas Pendidikan Indonesia
Abstract
Long-term Load Forecasting is very important in the electricity industry in each country. With the demand for loads in the future, make the industry or electricity provider company produce, transmit and distribute power accurately and economically. In recent years, conventional methods and mathematical methods have been developed for energy forecasting. However, Fuzzy Logic techniques provide efficiency that is more smooth and effective than conventional methods. The Fuzzy Logic model is used based on historical data parameters including the population, gross domestic product, and average electricity prices to forecast electrical energy in the next few years. The results obtained reveal that the proposed model is able to predict future electrical loads.
Keywords: longterm, load, forecasting, fuzzy logic
Topic: Electrical Engineering