Quality Management of Electric Power for Agricultural Consumers

Abstract

The problems of increasing efficiency of power supply for agricultural consumers through Smart Grid elements are considered in the paper. Forecasting techniques play a specific role in the system of power quality management. Neural networks are used to forecast parameters of power quality. The results of the research based on the simulation of neural networks with different activation functions are given in the paper.