Directly increase profits by saving on energy expenses
Overall equipment efficiency
Achieve maximum efficiency of the equipment by tracking the power quality
Complete Power quality analysis
Eliminate failure of equipment to reduce the loss
Identification of downtime of assets
Know when the equipment was down and analyze it to improve it
Energy Data Analytics Platform
marc.energy is a cloud-based next generation energy data analytics platform for demand side management of energy loads and process parameter monitoring.
It is designed to handle quantitative and qualitative data to provide users with an in-depth analysis and insight into their load systems enabling them with possibilities for optimisation, energy OPEX savings, and building efficiency in their load networks.
The added value addition provided by the system is its problem diagnosis engine based on the trends and data mining of historical data in cloud of an asset preventing expensive downtimes and breakdown of machines, motors, transformers and other loads.
User Customisable Dashboard
Multiple User specific dashboard Can be customised with relevant reports from CEO, to manager, and to the actual user of the specific load.
Real Time Data Visualisation
Real time load parameter visualisation Analog, digital, graphical, and heat maps etc formats to choose from for quick viewing
Data Analytics Engine
Reporting tool for data in predefined as well as user defined format with configurable parameters.
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+91 253 220 2044
What People Says About Us
We had a bunch of 10 notebooks for daily reading in 1 year and it took minimum 1 hour to find a specific day consumption, now everything is just a click away.
Mr. RajaNew Gen Media
This system report helps and guides me to bid for the next day's power requirement on my IEX - Open Access account for power trading.
Mr. Mahesh Khabrani,Garden Vareli - Surat
System alarms me time to time for the preventive maintenance of motor load
Mr. Devrajan,Pharmazell Ltd
I can track the productivity of my machine operators even at night when I am not in plant.