Forecasting electricity consumption by LSTM neural network
Vasily Ya. Ushakov,
Ikromjon U. Rakhmonov,
Numon N. Niyozov
et al.
Abstract:Relevance. The need to enhance the precision of electricity consumption forecasting for improving energy efficiency and, consequently, enhancing the competitiveness of manufactured products by reducing the proportion of electricity costs in their total cost. When determining forecast indicators of electricity consumption by industrial enterprises, it is important to apply contemporary high-precision forecasting methods. Only 20–30 forecasting methods of the 150 existing ones are actively implemented in practic… Show more
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