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Support vector machine enhanced models for short-term wind farm generation forecasting
Support vector machine enhanced models for short-term wind farm generation forecasting
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机译：支持向量机增强模型，用于短期风电场发电量预测
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摘要
Systems and methods for forecasting wind farm power generation are disclosed. Via use of a support vector machine (SVM) enhanced Markov model, short-term wind power generation forecasts may be generated. Exemplary approaches accurately account for wind ramp-up and ramp-down, as well as diurnal non-stationarity and seasonality of wind power generation. Via use of the disclosed forecasting approaches, utilities and grid managers can make improved decisions relating to electrical power generation and transmission, thus reducing costs and reducing pollution.
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