Factor identification and prediction of power demand using sparse modeling AI

Abstract

We have been applied sparse modeling AI to identify factors and predict in power demand. In former study, we only used data in summer season. By contrast former study, we use yearly data to identify factors and predict in that. Sparse modeling AI shows that factors of power demand are different data in summer season and yearly data. In addition to that, sparse modeling AI succeeded in achieving about 5% averaged absolute prediction error.