Design of Cloud Computing System for Homes Electric Energy Larceny Detection

This paper proposes an electric energy larceny detection system utilizing a cloud computing technique for data storage and processing, specifically an IaaS (Infrastructure as a Service) server. Real-time energy usage data is collected by an Arduino Mega Wi-Fi R3 and transmitted to the central cloud database, where it is processed and stored using the ASP.NET Core framework. The use of a cloud-based technique provides a cost-effective and streamlined solution for utility companies with the goal of eliminating the need for on-premises storage and processing resources. Additionally, the system offers a web-based monitoring application for authorities to monitor electricity usage in real-time as well as enhance the system's efficiency and effectiveness in mitigating power larceny.