USE OF A NEURAL NETWORK AUTO-REGRESSION MODEL AND PROPHET MODEL FOR PRICE PREDICTION IN THE RUSSIAN WHOLESALE ELECTRICITY MARKET
At present, the wholesale electricity and capacity market operates in Russia. This market is necessary in modern society, because electricity is a resource that is consumed by almost all the inhabitants of our planet. The price of this resource has a great impact on the economy. All participants in the wholesale electricity and capacity market operate in a competitive environment, in these conditions they need to develop a market strategy and plan future financial flows. Under these conditions, they need to predict electricity prices in the so-called “day-ahead market”. The aim of the study is to find a method that will be more accurate on the training and test sets.