Electricity consumption is a major expense in any factory. The system provides SMS Alerts for proactive action and key dashboards to generate insights. Pre-Built machine learning algorithms have been developed to provide insights of future operation. Some examples of use cases are; Energy forecasting, Current and Power based condition monitoring, Root cause analysis, Max Demand Alerting, Equipment / Group of Equipment comparison across plants, Equipment / Group of equipment comparison over time, comparison of consumption across products and many more.
In general, the impact of implementing this system, along with the necessary actions would lead to anywhere between 2% - 8% energy savings, with certain factories achieving close to 15% reduction. Additional outcomes would include a 8% - 10% reduction in man hours (to engage in more productive and high value tasks) and a 2% - 5% improvement in equipment reliability.