Abstract: A method and system for predicting regional gas consumption, and a device and a cloud platform. The future gas consumption of all gas users in an entire region is predicted according to a user-specified region and date; all networked gas users in the region are extracted during a prediction process by using spatial address matching technology; and then, by means of classifying the users and sampling the users in combination with statistics, representative sample users are extracted from all the users for respective prediction, thereby reducing the computation amount and computing resource consumption, which are required for model prediction. The method and system is mounted on a cloud platform, and the cloud platform receives, by means of Internet of Things technology, gas flow data that is uploaded by gas flow metering devices of all networked gas users, and also provides an interface for interacting with the users for the outside.

Abstract: A method and system for predicting regional gas consumption, and a device and a cloud platform. The future gas consumption of all gas users in an entire region is predicted according to a user-specified region and date; all networked gas users in the region are extracted during a prediction process by using spatial address matching technology; and then, by means of classifying the users and sampling the users in combination with statistics, representative sample users are extracted from all the users for respective prediction, thereby reducing the computation amount and computing resource consumption, which are required for model prediction. The method and system is mounted on a cloud platform, and the cloud platform receives, by means of Internet of Things technology, gas flow data that is uploaded by gas flow metering devices of all networked gas users, and also provides an interface for interacting with the users for the outside.