ML-Driven Predictive Resource Allocation & Sensor Scheduling in IIoT-Enabled V2L Monitoring & Control via Multi-Nodal MQTT and Node-RED

The work presents the use of Electric Vehicles (EVs) as a backup to support a house during peak hours. Although EVs can be integrated through various schemes such as V2G, V2X and V2V, this research paper focuses on the design and analysis of V2L along with the integration of Internet of Things (IoT), making it an energy efficient solution for industries to remotely monitor their utilities by integrating intelligent sensors and IoT technologies. Our work considers the development of a DAB converter, synchronization through phase lock loop (PLL), and improvement of power quality through an LCL filter by reducing the THD of the system, while our system facilitates real-time monitoring by integrating sensor nodes equipped with IoT-specialized microcontrollers. Our aim is to develop cost-effective and scalable solutions in industrial monitoring that contribute to the thriving of industries in the era of Industry 4.0.