Forecasting Consumption of Electrical Energy Using Time Series Comprised of Uncertain Data

A lot of forecasting methods and models have been proposed by researchers for different applications with the main issue to improve their accuracy. Electrical loads and energy consumption forecasting is one of the most important task in power system operation and planning. However, in some cases we need to solve this problem in the absence of reliable and adequate historical data. In this regard paper presents the development of fuzzy time series for electrical energy consumption forecasting. The experimental data of monthly energy consumption is used to demonstrate the model's effectiveness.