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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

Link: https://ifory.id/abstract/YLWaPt3NhjJb

Conference: The 4th Annual Applied Science and Engineering Conference (AASEC 2019)

Plain Format | Corresponding Author (Muhammad Nur Tastaftyan)

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