FORECASTING ELECTRICITY CONSUMPTION USING NEURAL NETWORKS

The problem of early and accurate forecasting electricity consumption is acute for the unified energy system Ukraine. With successful consumption, which based on many aspects, it possible to buy electricity/losses in different market segments much more profitably, saving large amounts money, can then be directed development modernization networks. This has always been an urgent issue, but today, when a part Ukraine's equipment destroyed by Russian missiles, become even painful. use method artificial neural networks (ANN) short-term considered. It was established that ANN used make forecast day ahead with error 4.86% compared actual amount consumption. Performing comparison values allows us talk about adequacy selected model its application practice operation supply companies market.