Non-stationary transmission line icing prediction method and system based on first-order difference

The invention discloses a non-stationary power transmission line icing prediction method and system based on first-order difference, and the method comprises the steps: obtaining icing data of a power transmission line, the icing data comprising historical icing data and real-time icing data, and th...

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Hauptverfasser:	ZHAO CHAO, LIU ZHUOYA, WEN YI, YE HUAYANG, LI HAO, WU JIANRONG, HE JINQIANG, DENG SONG, ZHANG QILI, MA MINBO, CHEN ZONGLEI, YANG QI, LUO XIN, YAN KANG, YANG TAO, HUANG HUAN, HUANG JUNKAI, ZENG HUARONG, FAN QIANG, OUYANG GUANGZE, WU YU, HU TIANSONG, MAO XIANYIN
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	The invention discloses a non-stationary power transmission line icing prediction method and system based on first-order difference, and the method comprises the steps: obtaining icing data of a power transmission line, the icing data comprising historical icing data and real-time icing data, and the icing data comprising environmental parameters and icing condition data; preprocessing the icing data, and extracting historical icing characteristics after preprocessing operation; taking the icing characteristics as the input of a power transmission line icing prediction model, taking the output of the power transmission line icing prediction model as an icing state, and training and optimizing the power transmission line icing prediction model; and according to the real-time icing characteristics after the preprocessing operation, combining the icing prediction model of the power transmission line to predict the icing of the non-stationary power transmission line. The non-stationarity of the data can be effect