Application of Machine Learning Algorithms for Operational Forecasting Load Curve

Forecasting load curves is the most important task in the electrical energy industry. The quality of forecasting load curves depends on reliability and efficiency of power distribution, management of normal and post emergency modes, taking into account the interests of the subjects of the electrical power and capacity market. The article reviewed the issues of forecasting modes parameters on the operational time-frame of control by machine learning methods. The article are considered the forecasting load curves algorithms, which allow load curves to adapt the changes in the structure and energy consumption mode. This fact improves the quality of the operational management of the power system.