A Markov model for short term wind speed prediction by integrating the wind acceleration information
Author:
Publisher
Elsevier BV
Subject
Renewable Energy, Sustainability and the Environment
Reference32 articles.
1. Analysis and application of forecasting models in wind power integration: a review of multi-step-ahead wind speed forecasting models;Wang;Renew. Sustain. Energy Rev.,2016
2. A review on hybrid empirical mode decomposition models for wind speed and wind power prediction;Bokde;Energies,2019
3. An intelligent system for offshore wind farm maintenance scheduling optimization considering turbine production loss;Feng;J. Intell. Fuzzy Syst.,2019
4. Short-term wind speed forecasting using empirical mode decomposition and feature selection;Zhang;Renew. Energy,2016
5. Very short-term wind forecasting for Tasmanian power generation;Potter;IEEE Trans. Power Syst.,2006
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