The book presents the design and implementation of a Smart energy meter with power theft detection capabilities. The proposed system uses microcontroller, wireless communication and data analysis for real-time monitoring of energy consumption and detection of stolen electricity issues. The smart energy meter records energy consumption data and transmits it to a centralized server over a secure wireless network. Machine learning algorithms are then used to analyze the data to identify unusual usage patterns that indicate power theft. Additionally, the system features an alert mechanism to notify utilities and users of potential theft. The proposed solution aims to improve the efficiency and reliability of energy distribution systems, reduce losses due to theft and promote fair payment practices.