Spatio-temporal short-term wind forecast: a calibrated regime-switching method
From MaRDI portal
Publication:2281197
DOI10.1214/19-AOAS1243zbMath1433.62322WikidataQ98465833 ScholiaQ98465833MaRDI QIDQ2281197
Yu Ding, Mikyoung Jun, Ahmed Aziz Ezzat
Publication date: 19 December 2019
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.aoas/1571277761
Directional data; spatial statistics (62H11) Inference from stochastic processes and prediction (62M20) Applications of statistics to environmental and related topics (62P12) Geostatistics (86A32) Markov processes: hypothesis testing (62M02)
Related Items (2)
Gaussian random fields on the product of spheres: theory and applications ⋮ Nonparametric importance sampling for wind turbine reliability analysis with stochastic computer models
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Making and Evaluating Point Forecasts
- Space-time wind speed forecasting for improved power system dispatch
- Some covariance models based on normal scale mixtures
- Assessing the performance of model-based clustering methods in multivariate time series with application to identifying regional wind regimes
- Non-homogeneous hidden Markov-switching models for wind time series
- Topics in Circular Statistics
- Nonseparable, Stationary Covariance Functions for Space–Time Data
- Powering Up With Space-Time Wind Forecasting
- Space–Time Covariance Functions
- Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center
- Wind energy: forecasting challenges for its operational management
This page was built for publication: Spatio-temporal short-term wind forecast: a calibrated regime-switching method