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WD-SGformer: high-precision wind power forecasting via dual-attention dynamic spatio-temporal learning

Yakai Yang, Shuanglong Fan, Zhenqing Liu, Zihao Yu

2025Energy9 citationsDOI

Topics & Concepts

Computer scienceWind power forecastingTerrainWind powerRenewable energyNumerical weather predictionGridTransformerGeospatial analysisWind speedData miningProbabilistic forecastingElectric power systemFeature (linguistics)Artificial intelligenceDeep learningData modelingSpatial analysisWeather forecastingArchitectureMachine learningSpatial correlationElectricity generationFeature learningEnergy Load and Power ForecastingSolar Radiation and PhotovoltaicsElectric Power System Optimization
WD-SGformer: high-precision wind power forecasting via dual-attention dynamic spatio-temporal learning | Litcius