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A review of short‐term wind power probabilistic forecasting and a taxonomy focused on input data

https://doi.org/10.1049/rpg2.12330
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Probabilistic wind power forecasting using a novel hybrid intelligent method
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Deep learning based ensemble approach for probabilistic wind power forecasting
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A data-driven multi-model methodology with deep feature selection for short-term wind forecasting
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Deterministic and probabilistic wind power forecasting using a variational Bayesian-based adaptive robust multi-kernel regression model
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A two-step short-term probabilistic wind forecasting methodology based on predictive distribution optimization
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Data processing strategies in wind energy forecasting models and applications: A comprehensive review
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Conditional aggregated probabilistic wind power forecasting based on spatio-temporal correlation
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Probabilistic spatiotemporal wind speed forecasting based on a variational Bayesian deep learning model
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Short-term wind power prediction based on multidimensional data cleaning and feature reconfiguration
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Wind power generation: A review and a research agenda
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Very short-term probabilistic wind power prediction using sparse machine learning and nonparametric density estimation algorithms
inferredcites →https://doi.org/10.1016/j.rser.2006.10.007openalex-snapshot
Technical challenges associated with the integration of wind power into power systems
inferredcites →https://doi.org/10.1016/j.rser.2013.12.054openalex-snapshot
Current status and future advances for wind speed and power forecasting
inferredcites →https://doi.org/10.1016/j.rser.2014.01.033openalex-snapshot
Review on probabilistic forecasting of wind power generation
inferredcites →https://doi.org/10.1016/j.rser.2015.04.081openalex-snapshot
Ensemble methods for wind and solar power forecasting—A state-of-the-art review
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Short‐term wind power forecasting based on two‐stage attention mechanism
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inferredcites →https://doi.org/10.1109/pct.2007.4538398openalex-snapshot
Probabilistic Short-term Wind Power Forecasting for the Optimal Management of Wind Generation
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Performance Analysis of Short and Mid-Term Wind Power Prediction using ARIMA and Hybrid Models
inferredcites →https://doi.org/10.1109/ptc.2011.6019180openalex-snapshot
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inferredcites →https://doi.org/10.1109/tec.2005.847954openalex-snapshot
Long-Term Wind Speed and Power Forecasting Using Local Recurrent Neural Network Models
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Probabilistic Wind-Power Forecasting Using Weather Ensemble Models
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Probabilistic Prediction of Regional Wind Power Based on Spatiotemporal Quantile Regression
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Rough Deep Neural Architecture for Short-Term Wind Speed Forecasting
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Advanced Deep Learning Approach for Probabilistic Wind Speed Forecasting
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inferredcites →https://doi.org/10.1109/tsg.2017.2763827openalex-snapshot
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inferredcites →https://doi.org/10.1109/tsg.2018.2841932openalex-snapshot
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inferredcites →https://doi.org/10.1109/tsg.2020.3021578openalex-snapshot
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inferredcites →https://doi.org/10.1109/tste.2012.2200302openalex-snapshot
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inferredcites →https://doi.org/10.1109/tste.2018.2831238openalex-snapshot
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inferredcites →https://doi.org/10.1109/tste.2019.2890875openalex-snapshot
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Robustness of Short-Term Wind Power Forecasting against False Data Injection Attacks
inferredcites →https://doi.org/10.4236/jpee.2014.24023openalex-snapshot
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