The paper presents the results of studies of the predictive models development based on
retrospective data on planned electricity consumption in the region with a significant share of …

The methods used in the study: Holt–Winters model, the ARIMA, neural networks,
temperature and wind index. The results. The authors have considered the methods of …

Renewable energy sources (RES) are sources of electricity production with a sharply
uneven load coverage schedule. Unsatisfactory accuracy of RES forecasts leads to …

The article considers the possibility of increasing the efficiency of the mining enterprise at
the expense of correct choice of price categories and tariff for electricity. The efficiency of …

Nowadays the problem of the efficient use of available energy resources is urgent. It causes
the development of energy-saving technologies, including using renewable energy sources …

A non-standard method of forecasting load and power consumption using a regression
model is considered. The training sample is taken as a basis, which is a set of values of the …

Forecasting of power consumption is one of the ways to improve the validity of managerial
decisions in the process of planning costs for electrical energy. The functioning of wholesale …

The results of forecasting of electric energy consumption based on recurrent neural network
model. When developing the model, the following dominant factors were taken into account …

In article the analysis of electric power consumption and problems of power saving on coal
mines are considered. Nowadays the share of conditionally constant costs of electric power …

Forecasting of power consumption and planning of the balances of electric power may be
said to be the main objective of management of EPS. The amount of energy consumption …