The big data analysis innovation to answer the emerging need in the intelligent management of Energy Smart Grids
Our Vision
Making manageable and predictable the smart grid’s behavior and its elements, including the end-users.
Our Mission
To enable energy actors, including end-users, to make the best decision providing situation awareness about the grid and its elements in real-time.
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What we do
REMOTE SUPERVISION & ENERGY MANAGEMENT
From real time to forecast:
EController optimizes the performance of your system even with storage system
RENEWABLE TO GRID
Everything for an innovative smart grid intelligent management:
Res2Grid is the optimal integration with renewable energy sources,
energy storage systems and electric vehicles
ENERGY EFFICIENCY MANAGEMENT
The integrated solution for the monitoring and the active management of energy efficiency energy storage system and electric vehicle
CASE STUDIES
Microgrid in Ollague, Cile
Optimization of the management of the microgrid in Ollague (Chile). The microgrid is made by PV plant, Wind pland and storage system. I-EM provides the forecast production data and the optimized parameters for the grid.
Solar Predictive
i-EM provides an advanced diagnostics and predictive solution through Big Data technology application in order to monitor, detect and prevent GU (Inverter) faults and reduce lost production for PV energy plants in Romania and Greece.
MAGO
i-EM provides weather forecast data (3 days ahead) and measured/observed data (1 day before) for the 28 control site of Enel Distribuzione in Italy.
Nowcast and Forecast in Upington, South Africa
Nowcast and forecast big data for EGP plants in Sud Africa i-EM provides data to forecast and nowcast to Enel Green Power first PV production plant in South Africa began in August 2014.