Power Load Forecast for North Macedonia Using Machine Learning

Estimating power load has always been of a great importance for making power purchase agreements on the electricity market or maintaining power system stability and reliability. This paper analyses power load forecasts for North Macedonia when different combinations of independent variables are used - air temperature, humidity and wind. Several types of machine learning models were trained in order to evaluate their performances and impact on the power load forecast.