Time series forecasting and data imputation for the digital twin of a solar power plant

Aleksei S. Losev, Alexey G. Massel

Melentiev Energy Systems Institute Siberian Branch of the Russian Academy of Sciences

The article presents the implementation of an autoregressive model for predicting solar radiation data. An experiment was carried out with some approaches to data imputation and the choice of the MICE (Multiple Imputation by Chained Equation) approach was justified. A comparative experiment was also carried out for predicting solar radiation based on initial data and based on data in which imputation was applied.

Digital twin, imputatuion, solar radiation, autoregression, forecast, ARIMA, SARIMA, MICE