As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
The traditional electricity payment reminder adopts the “manual+SMS” method, and the reminder staff cannot optimize the reminder strategy according to the customer’s service needs and payment habits, and can only passively execute the traditional reminder process. Therefore, this article proposes an artificial intelligence based electricity payment reminder and control system and method. Develop reminder strategies for different types of overdue users through credit rating analysis, analysis of overdue user characteristics, and analysis of electricity fee recovery risks, in order to reduce compliance risks and monitor overdue status in real time, and promptly identify potential default risks.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.