employee
Russian Federation
The structure of the planning of electricity con-sumption used in the largest Russian furniture Holding Company "Furniture Chernozemye", with further transfer of data to the territorial organization of the network. A mathematical model is made. The advantages and disadvan-tages of this approach are analyzed. The appli-cation of neuro-fuzzy networks to increase the accuracy of forward-looking planning is justified. The model and algorithm of the system functioning of forecast planning of electricity consumption of HC «Furniture Chernozemye» on the basis of fuzzy neurocontroller.
forecasting, consumption of electrical energy, neuro-fuzzy networks, control systems, SmartGRID, simulation.
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