Space-time short- to medium-term wind speed forecasting

DOI10.1007/s10260-015-0343-6zbMath1416.62632OpenAlexW2210063743MaRDI QIDQ290340

Daniel Ambach, Carsten Croonenbroeck

Publication date: 1 June 2016

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-015-0343-6

zbMATH Keywords

elastic netiteratively re-weighted Lassoperiodic B-splinesperiodic vector autoregressive modelwind speed forecasting

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to environmental and related topics (62P12)

Related Items

Editorial: Advanced methods for space-time environmental data ⋮ Joint and conditional dependence modelling of peak district heating demand and outdoor temperature: a copula-based approach

Uses Software

• ElemStatLearn

Cites Work

• Unnamed Item
• Isogeometric fluid structure interaction analysis with emphasis on non-matching discretizations, and with application to wind turbines
• Space-time wind speed forecasting for improved power system dispatch
• Subset selection for vector autoregressive processes via adaptive Lasso
• A practical guide to splines
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Least angle regression. (With discussion)
• Spline approximation of gradient fields: applications to wind velocity fields
• Metrizability of Spaces of ℝ-places of Function Fields of Transcendence Degree 1 Over Real Closed Fields
• Spatial–temporal model for wind speed in Lithuania
• Short-term wind speed forecasting in Germany
• Penalized regression models with autoregressive error terms
• Periodic Seasonal Reg-ARFIMA–GARCH Models for Daily Electricity Spot Prices
• Regularization and Variable Selection Via the Elastic Net
• Probabilistic Forecasts, Calibration and Sharpness
• Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center