K-Nearest Neighbor Regression for Forecasting Electricity Demand

Power system load forecasting plays a vital role in all aspects of power system planning, operation and control. It is a basic function for reliable and economical operation of power systems. This paper analyses the power system load forecast performed by applying k-nearest neighbour machine learning model, which is for the first time applied on real data of North Macedonia power system. The results are compared with polynomial and sinuses regressions.