Vehicle scheduling method and device based on business volume prediction, and electronic equipment

Vehicle scheduling method and device based on business volume prediction, and electronic equipment

The embodiment of the invention discloses a vehicle scheduling method and device based on business volume prediction, and electronic equipment. According to one specific embodiment, the method comprises the steps that a second equipment actual service volume sequence and a second equipment feature d...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: WANG ZHIBO, FANG MAOHUAN, YAN XIAOHAO, SUI ZHIWEI, SUN YANG, LIU JIANSHUANG, ZHANG FANGMING, WEI MING, CHEN XI, GU HENGRUI, LI CHENPENG, CHEN ENGUANG, WANG LIJUN, REN KEJIE, XIE FENG, GAO HENG
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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Beschreibung
Zusammenfassung:The embodiment of the invention discloses a vehicle scheduling method and device based on business volume prediction, and electronic equipment. According to one specific embodiment, the method comprises the steps that a second equipment actual service volume sequence and a second equipment feature data sequence corresponding to target power equipment are acquired, and the second equipment actual service volume sequence is an equipment service volume sequence corresponding to current time information; inputting the actual business volume sequence of the second equipment and the characteristic data sequence of the second equipment into a pre-trained equipment business volume time sequence prediction model to obtain a predicted business volume sequence of the second equipment for a second future time sequence; and generating a predicted traffic sequence of the target power equipment according to the predicted traffic sequence of the first equipment and the predicted traffic sequence of the second equipment. Acco