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@article{197811,
        author = {Keerthy N and Sravanthi Thota and Shanvi G and Spoorthi B and Suresh Kumawat},
        title = {Ambient RF Energy Harvester with Intelligent Load Management System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {7630-7637},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197811},
        abstract = {An encoded RF - based remote control system enhanced with RF energy harvesting and intelligent load management for smart home automation applications. The system utilizes an RF transmitter to send encoded control commands to a microcontroller-based receiver, which decodes the signals and operates connected household appliances such as fans, lights, and electronic devices. In addition to wireless control, the system integrates an RF energy harvesting module that captures ambient RF signals from sources like mobile towers, Wi-Fi routers, and broadcast stations. The harvested electromagnetic energy is rectified, converted into DC power, and stored in a capacitor or rechargeable battery to supplement the system’s power requirements. To further enhance system efficiency, an intelligent load management unit is incorporated to monitor connected devices and optimize power distribution based on available harvested energy. The system prioritizes essential loads, minimizes grid dependency, and prevents unnecessary power consumption by switching off idle devices. By merging encoded RF control technology with sustainable energy harvesting and automated power allocation, the proposed model demonstrates a reliable and energy- efficient smart home solution. This approach ensures seamless device operation, reduced electricity usage, and improved system stability, making it suitable for future IOT-based energy-aware environments.},
        keywords = {Encoded RF transmitter, RF energy harvesting, smart home automation, Arduino microcontroller, wireless control system, intelligent load management, energy optimization, ambient RF power conversion.},
        month = {April},
        }