A review of the intelligent techniques for load forecasting of UHBVNL

Neha Khurana; Ankush .; Gopal Krishan; Mansi Hooda

doi:10.37591/.v13i3.7621

Abstract

The primary aim of load forecasting is to know the change in power demand with the variable factors on a short-term, medium-term, and long-term basis and to evolve our power system network according to the changing variables. It ensures correct values to the operations, stability, demand management, scheduling generating capacity, efficiency, reliability, accuracy, economy, controlling, scheduling, security analysis, environmental sustainability, etc. Various forecasting techniques are there which are making it more accurate with the advancing knowledge. This work develops a combination of medium- and long-term models for a 33KV feeder that supplies a university distribution zone and the factors affecting the medium-term load forecasting. This research paper brings the forecasting techniques and the factors that impact power consumption and their significance in medium-term load forecasting.