Method and device for predicting community electricity utilization carbon emission based on autoregressive moving average model

Method and device for predicting community electricity utilization carbon emission based on autoregressive moving average model

The invention provides a method and a device for predicting community electricity utilization carbon emission based on an autoregressive moving average model. The method comprises the steps of obtaining annual carbon emission factor data of a region where a community is located and electricity consu...

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Bibliographische Detailangaben
Hauptverfasser: LU DA, YANG SHIHAI, CHEN MINGMING, CHEN HAO, PENG CHUNING, GE DEHUI, WANG CHUNYAN, CHENG HANMIAO, LI HELONG
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 provides a method and a device for predicting community electricity utilization carbon emission based on an autoregressive moving average model. The method comprises the steps of obtaining annual carbon emission factor data of a region where a community is located and electricity consumption data of the community within a first specified time span; establishing a dynamic carbon emission factor model according to the annual carbon emission factor data, and determining a corresponding dynamic daily carbon emission factor curve in the first specified time span by using the dynamic carbon emission factor model; according to the dynamic daily carbon emission factor curve and the community power consumption data, determining community power consumption daily carbon emission data; establishing a carbon emission prediction model by using the community electricity consumption daily carbon emission data; and utilizing the carbon emission prediction model to predict community electricity consumption daily