Industrial Load Monitoring and Controlling System

Industrial Load Monitoring and Controlling System

[1] Rushikesh Borudhe     [2] Rutuja Landage        [3] Pratiksha Pokale        [4] Anushka Satpute

rushiborudhe18@gmail.com     rutujalandage70@gmail.com   pratikshapokale2003@gmail.com

Department of Electrical Engineering, Adsul Technical Campus Faculty of Engineering, Savitribai Phule Pune University, Pune, India

Abstract- Industrial sectors, such as manufacturing, chemical processing, and energy-intensive industries, face significant energy consumption costs and sustainability challenges. By implementing IPEMS, industries can monitor real-time energy consumption across various machines, identify inefficiencies, and predict equipment failures through advanced data analytics and machine learning algorithms. The system enables industries to make data-driven decisions regarding energy management, reducing both operational costs and the environmental footprint. IPEMS relies on key technologies, such as IoT-based sensors, smart meters, and cloud computing, to collect, analyse, and visualize energy usage data. The system offers actionable insights into the performance of equipment, suggesting optimization measures, such as load balancing, scheduling, and preventive maintenance. Additionally, predictive analytics enable the system to forecast potential energy inefficiencies and maintenance needs based on historical data patterns.
With growing emphasis on green energy and sustainability in industrial operations, IPEMS helps organizations meet energy efficiency standards and regulatory requirements. By reducing unnecessary energy consumption, this system not only enhances profitability but also supports corporate sustainability goals by decreasing carbon emissions