Incorporating geostrophic wind information for improved space-time short-term wind speed forecasting

DOI10.1214/14-AOAS756zbMath1304.62142arXiv1412.1915OpenAlexW1966740280MaRDI QIDQ484052

Kenneth P. Bowman, Marc G. Genton, Xinxin Zhu

Publication date: 17 December 2014

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1412.1915

zbMATH Keywords

wind energywind speed forecastingspace-time statistical modelgeostrophic wind

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Inference from spatial processes (62M30) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to environmental and related topics (62P12) Geostatistics (86A32)

Related Items (2)

Spatio-temporal hydro forecasting of multireservoir inflows for hydro-thermal scheduling ⋮ Rejoinder on: Space-time wind speed forecasting for improved power system dispatch

Cites Work

• Space-time wind speed forecasting for improved power system dispatch
• Present Position and Potential Developments: Some Personal Views: Statistical Theory: The Prequential Approach
• Adaptive modelling and forecasting of offshore wind power fluctuations with Markov‐switching autoregressive models
• Powering Up With Space-Time Wind Forecasting
• Strictly Proper Scoring Rules, Prediction, and Estimation
• Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center
• Wind energy: forecasting challenges for its operational management

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