Abstract
Currently, the prediction of electrical loads is an important task. On the basis of forecasts, the operating modes of stations, the network configuration are calculated, the efficiency and quality of electric power is estimated, the schedule of repair work is calculated, etc. The electric load forecasting model is one of the foresight tools for making management decisions when managing electric power systems. This article consists in the construction, evaluation and comparative study of various models for forecasting electricity consumption. The following approaches and methods in forecasting were studied and analyzed: neural network, neuro fuzzy.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
