Enhancing wind power forecasting accuracy under extreme weather: Leveraging a dual-model approach with condition-based classification
Weimin Yuan, Han Yang, Zhu Han, Yanru Zhang
Topics & Concepts
Computer scienceRobustness (evolution)Extreme learning machineExtreme weatherMean squared errorExtreme value theoryNumerical weather predictionGridConvolutional neural networkSensitivity (control systems)Wind speedGradient boostingData miningArtificial neural networkWeather forecastingMultivariate statisticsWind powerMean absolute percentage errorSupport vector machineTime seriesBoosting (machine learning)Forecast skillStatistical powerForecast verificationMachine learningCorrelation coefficientArtificial intelligenceHyperparameter optimizationMean absolute errorCross-validationEnergy Load and Power ForecastingElectric Power System OptimizationPower System Reliability and Maintenance