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Industrial Automatic Control Systems and Controllers

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Energy Consumption Forecasting Depending Source of Information
V.I. Domanov, V.N. Klyachkin, A.I. Bilalova

In this article consider the problem of predicting energy consumption based on different set of components of the source database. Projection methods are used regression analysis. Effi ciency of forecast is assessed by the magnitude of the relative error. The paper uses statistical analysis to evaluate the prediction results. Defi ned variables with a high correlation coeffi cient.
To solve this problem is the forecast with minimum forecast error in electricity consumption given the dependence on weather factors. Given specifi c values for the base and forecasted values. Presents them in charts and error values depending on different databases. These studies help to elaborate recommendations to develop a reference and to determine the infl uence of individual components on the forecast errors.
Keywords: power consumption; statistical analysis; forecasting; correlation coeffi cient; forecasting error; database; temperature; humidity.

Contacts: E-mail: andrew.domanov@gmail.ru, E-mail: v_kl@mail.ru, E-mail: bilalova_alisa@mail.ru

Pp. 42-46.

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