Wind power short-term power prediction method based on deep learning and multiple integration

The invention discloses a wind power short-term power prediction method based on deep learning and multiple integration. The wind power short-term power prediction method comprises the following steps: step 1, acquiring meteorological data of an area where wind power to be predicted is located by us...

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Hauptverfasser:	GAO DELAN, SHI RUXIN, CAO QINGCAI, WANG JUAN, TADAO, ZHANG JIANXIN, LIU XIANRONG, TANG HONGFEN, CAO SHANQIAO, ZHANG SHUXIANG, WU LIDONG, XUN JIAMENG, ZHANG SHUXIAO, XU ZHIXUAN, GUO XUFENG, ZHANG LIXING
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONVERSION OR DISTRIBUTION OF ELECTRIC POWER COUNTING ELECTRIC DIGITAL DATA PROCESSING ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR ELECTRICITY GENERATION MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS PHYSICS PRINTED CIRCUITS SYSTEMS FOR STORING ELECTRIC ENERGY
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