FORECASTED PLANNING OF ELECTRICITY CONSUMPTION BY ENERGY INTENSIVE INDUSTRY WOOD PROCESSING INDUSTRY USING NEURO-FUZZY NETWORKS
Abstract and keywords
Abstract (English):
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.

Keywords:
forecasting, consumption of electrical energy, neuro-fuzzy networks, control systems, SmartGRID, simulation.
References

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