2021
DOI: 10.1109/tii.2020.3006928
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Multisource Wind Speed Fusion Method for Short-Term Wind Power Prediction

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Cited by 21 publications
(10 citation statements)
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“…Various wind power probabilistic forecasting models are proposed in the reviewed works [24–65]. All these works focus on short‐term wind power forecasting.…”
Section: Short‐term Wppf Complexity and Evaluationmentioning
confidence: 99%
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“…Various wind power probabilistic forecasting models are proposed in the reviewed works [24–65]. All these works focus on short‐term wind power forecasting.…”
Section: Short‐term Wppf Complexity and Evaluationmentioning
confidence: 99%
“…Historical data [24-31, 34, 36-38, 41-64] Meteorological data [27, 36, 38, 41-42, 59, 62, 64] NWP [31,35,40,41,43,44,58,61,63] TABLE 6 Details on NWP of reviewed works…”
Section: Data Type Reviewed Workmentioning
confidence: 99%
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“…The combination prediction model can comprehensively use the statistical information of each single prediction model, establish the combination prediction model according to the technical characteristics and advantages of each model through the idea of complementary advantages, overcome the limitations of the single prediction model, and effectively reduce the probability of large errors. Typical combination prediction models include combination prediction model based on weight coefficient (An et al, 2021; Sun et al, 2019), combination prediction model combined with data preprocessing (Wang et al, 2019; Zhang et al, 2019a), combination prediction model based on model parameter optimization (Qin et al, 2021), etc. A large number of studies show that the prediction accuracy of the combination prediction model has been improved compared with the single prediction model.…”
Section: Introductionmentioning
confidence: 99%