Risk prediction method and device, electronic equipment and storage medium

Risk prediction method and device, electronic equipment and storage medium

The invention discloses a risk prediction method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring original distribution network scheduling data, and preprocessing the original distribution network scheduling data to obtain to-be-predicted dat...

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Hauptverfasser: YUAN WEIDENG, XIAO JIARONG, SU JUNNI, ZHONG ZHIMING, HE YIPENG, LIU PEILIN, HU RUNFENG, ZHANG XIN, ZHOU LIDE, QIU ZEJIAN, ZHANG RUI, DENG JINGZHU, DUAN MENGYONG, HUANG DAOU, ZHAO JUNWEI, SHAO WEITAO, HUANG ANPING, CHEN FENGCHAO
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 risk prediction method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring original distribution network scheduling data, and preprocessing the original distribution network scheduling data to obtain to-be-predicted data and risk data corresponding to the to-be-predicted data in a first time period; the input to-be-predicted data are predicted through a trained remote control prediction model, a remote control prediction result is obtained, and the remote control prediction model is obtained by training an isolated forest model through a training sample set; and loading a terminal online rate corresponding to the to-be-predicted data, and determining a risk prediction level corresponding to the to-be-predicted data according to the remote control prediction result corresponding to the to-be-predicted data, the terminal online rate and the risk data, the terminal online rate is obtained by predicting the input to-be-predicted data