Armavir Institute of Mechanics and Technology (branch) of FSBEE HPE Kuban State Technological University
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NEURAL NETWORK PREDICTION MODULE FOR ELECTRICITY CONSUMPTION
DescriptionIn this work, we consider the design and development of neural network software module for prediction of electricity consumption in the system of support of decision-making power control. Two prediction models support the software module: regression model and neural network model, based on multilayer perceptron. Software development to predict power consumption in the system of decision-making today is one of the priority directions in the Russian power industry. Therefore, the work associated with the development of methods and algorithms of forecasting of power consumption in the power sector, is surely relevant