AI Smart Timer-Based Power Control and Energy Monitoring System for Home Appliances

This paper presents an intelligent home automation system that combines timer-based power control, real-time energy monitoring, and cloud-based AI analytics for individual appliances. The system is built using a Wi-Fi-enabled embedded controller connected to sensing circuits that measure voltage, current, and power consumption. Electromechanical relays are used to control appliance power based on user-defined timers. Users can configure either a fixed runtime or a scheduled cutoff, enabling automated energy-saving without manual input. Alongside local control, the system collects energy consumption data and transmits it to a cloud platform for storage and analysis. A dedicated mobile or web app provides live monitoring, device status, and remote control access. A major innovation is the integration of a cloud-based AI engine that processes historical and real-time data to offer predictive insights. The AI module forecasts energy use, detects anomalies, classifies appliances by behavior, and recommends optimal usage schedules. These AI-driven features support smarter automation, proactive maintenance alerts, and cost-efficient energy plans. The system is modular, scalable to multiple appliances, and synchronizes time via network protocols for precise scheduling. By integrating IoT-based monitoring with AI analytics and automated control, the system improves user convenience, energy efficiency, and promotes sustainable energy usage in smart homes.