HIGHLIGHTS
- who: Zhao Qinghe from the Agricultural University have published the paper: Optimised extreme gradient boosting model for short term electric load demand forecasting of regional grid system, in the Journal: Scientific Reports Scientific Reports
- what: The results in this paper show that fewer window features are capable to revert the power loads time series the authors are concerned about. The optimal window width of the time series data is determined in this study through Discrete Fourier Transform and Pearson Correlation Coefficient Methods, and five additional date features are introduced to complete feature engineering.
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