Fuel gas consumption prediction method based on artificial intelligence

• Main Authors: CHEN CAN, YANG YING, QI YANKE, ZHAO JIAJUN, HE XI, CAI YUGENG
• Format: Patent
• Language: Chinese; English
• Published: 09.01.2024
• Subjects: CALCULATING; 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

The invention relates to the technical field of gas management, in particular to a gas consumption prediction method based on artificial intelligence. The method mainly comprises five steps of data collection, data preprocessing, prediction model construction and training, model evaluation and result prediction. Firstly, historical gas consumption data are collected through a data acquisition system; then, the collected data is preprocessed through a data processing tool, redundancy removal and incomplete processing are included, and a data file used for subsequent steps is generated; thirdly, according to an ARIMA algorithm, prediction models are established for the heating users and the non-heating users respectively, and training is carried out; in the model evaluation step, the model is evaluated according to the evaluation indexes, and the prediction performance of the model is ensured. And finally, carrying out model integration, and predicting the gas consumption of the user. The invention aims to prov