Application of ARIMA model in predicting non-residential water consumption benchmark quotas
With the continuous acceleration of urbanization,the problem of water scarcity has become increasingly severe.Strengthening water consumption planning and management for water consuming entities,especially non residential water users such as industrial and service units,has become a key link in promoting urban water-saving strategies and balancing water supply and demand.One major challenge in non residential water use planning and management is to establish a sci-entifically reasonable water consumption benchmark quota.This article focuses on the water consumption situation in non residential areas of Shanghai,using the ARIMA time series analysis model to predict water usage for individual users and various industries.The results indicate that compared to traditional weighted average method,ARIMA models have signifi-cant advantages in prediction accuracy and can provide strong support for accurate prediction and regulation of non residen-tial water consumption benchmark quotas.
water consumption benchmark quotaARIMA modelweighted average methodwater-savingprioritizing water conservation
万方数据
维普
