IEEE Transactions on Smart Grid · 2014 · 187 citations · 11 references
BusinessData ScienceForecastingTime Series AnalysisWeather ForecastingComputational Time Series AnalysisShort-term ForecastingTime Series ForecastingTime Series ModelingWind Energy SystemsWind ForecastingHybrid Forecasting ModelsRenewable Energy ForecastingTime Series Forecasting For WindVery Short-term Wind ForecastingWind Power ForecastingWind Power SystemsWind Speed ForecastingWind Speed Prediction
Very-short term wind power forecasting is one of the most effective ways to deal with the challenges of increased penetration of wind power into the electric grid due to its fluctuation and volatility. To improve wind power forecasting by taking advantage of each independent forecasting model, a hybrid model is proposed by means of grey relational analysis and wind speed distribution features. The weight of each independent model is estimated according to different wind speed subsection and similar wind speed frequency. The case study shows that the hybrid forecasting model has broader applications in very-short term (15-minute-ahead) wind power output forecasting.
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