Optimization of Electricity Fee Collection in Cloud Platforms Using the Combination of Remote Load Control and IoT Technology
The electricity fee collection ratio is an important indicator for power enterprises.However,various risks are often encountered in electricity fee collection,such as severe overdue of customers.This study uses Internet of Things technology to classify user levels according to payment methods,customer types,and arrear risks and adopts specified col-lection methods for users of different levels to dynamically scheduling IoT cloud resources and improve electricity fee col-lection ratio.Moreover,cloud platform-based measurement of electricity consumption data is applied to track and analyze users'consumption behaviors.The proposed modification has been verified through test effective in improving electricity fee collection process.
remote load controlInternet of Things technologycloud platformelectricity fee collection
万方数据
维普
