Authors : Dr. R. A. Burange; Ganesh Shingade; Piyush Gondane; Mrunali Besurkar; Sejal Paunikar; Aryan Patil

Volume/Issue : Volume 11 - 2026, Issue 3 - March

Google Scholar : https://tinyurl.com/35b6a7bb

Scribd : https://tinyurl.com/3vz9t4kd

DOI : https://doi.org/10.38124/ijisrt/26mar1952

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : The growing need for efficient energy management in industrial sectors has led to the development of advanced monitoring solutions. This paper presents a work-in-progress study on an IoT-based Industrial Smart Energy Monitoring and Analytics System. The proposed system aims to continuously track important electrical parameters such as voltage, current, and power consumption, enabling industries to enhance energy efficiency and minimize operational costs. The system is designed using an integrated architecture that includes sensor units, an ESP32 microcontroller, and cloud-based platforms for real-time data acquisition, processing, and remote access. Data communication between the embedded system and cloud environment is achieved through Wi-Fi and MQTT protocols. At this stage, the overall system design has been completed, and initial implementation of sensing and communication components has been successfully carried out. Current development efforts are focused on enhancing measurement accuracy, building an interactive dashboard for realtime visualization, and incorporating analytical features to detect abnormal energy usage patterns. Future work will involve the application of machine learning techniques for predictive maintenance and automated energy optimization. This progress work highlights the practicality and effectiveness of IoT-based systems for smart industrial energy management.

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