Methods of Forecasting Electric Energy Consumption: A Literature Review

Balancing the production and consumption of electricity is an urgent task. Its implementation largely depends on means methods planning production. Forecasting one tools since availability accurate forecast a mechanism for increasing validity management decisions. This study provides overview used to predict supply requirements different objects. The have been reviewed analytically, taking into account classification according anticipation period. In this way, in operative, short-term, medium-term, long-term forecasting considered. Both classical modern identified when electric energy consumption. Classical are based theory regression statistical analysis (regression, autoregressive models); probabilistic use deep-machine-learning algorithms, rank methodology, fuzzy set theory, singular spectral analysis, wavelet transformations, Gray models, etc. Due need take specifics each subject area characterizing facility obtain reliable results, power modeling remains task despite wide variety other methods. review was conducted with assessment following criteria: labor intensity, initial data set, scope application, accuracy method, possibility application horizons. above period allows highlights fact that predicting time intervals, same often used. Therefore, it worth emphasizing importance classifying over horizon not differentiate but consider type (operative, long-term).