HIGHLIGHTS
- who: Michael Wood et al. from the Department of Energy, Politecnico di Milano, Via Lambruschini, a, Milan, Italy have published the research: Day Ahead Electric Load Forecast: A Comprehensive LSTM-EMD Methodology and Several Diverse Case Studies, in the Journal: Forecasting 2023, 5, 297-314. of /2023/
- how: And since the publicly available data are usually pre-processed often few outliers or bad data are present which can drastically skew forecast model training. In this work RMSE is used to calculate skill score (SS) which is a helpful indicator of performance relative to a benchmark . . .
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