Wind power prediction error segmented fitting method based on Gaussian mixture model

The invention discloses a wind power prediction error segmented fitting method based on a Gaussian mixture model, and the method specifically comprises the steps: carrying out the normalization processing of a wind power prediction value and a wind power prediction error of the historical data of a...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	TONG XIAOYANG, YI MINGYUE
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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