Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center

By Tilmann Gneiting, Kristin Larson, Kenneth J. Westrick, Marc G. Genton, Eric M. Aldrich. 2006

How researchers see this paper

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1. Amir Ghaderi
2. Faezeh Ghaderi
3. Borhan Molazem Sanandaji

Citations in the corpus

• Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting (2017, methodology): “(Gneiting et al., 2006) introduced the Regime Switching Space-Time Diurnal (RSTD) model for average wind speed data based on both spatial and temporal information.”