i-EM is looking for a technical partner
Our next product will address the battery storage predictive maintenance market.
Our great expertise in PV, wind and hydro predictive maintenance needs the support of a technical partner who has a deep knowledge in the battery storage field.
Fill the form to get in touch and become our partner.
Renewable plants for
of total installed power in
Nations
%
%
of system failures before they occur
%
from the real data
Proudly working with
Our Experience
International leader in PV Predictive Maintenance
i-EM has been developing and delivering predictive maintenance SaaS for more than four years. Now they are used in about 1000 plants of renewables energy assets in 24 Nations.Â
Solar
Numbers
13 Plants
> 50 GW
Plant Components
- Inverter
AI Technologies
- Self Organizing Map (SOM)
- Artificial Neural Network (ANN)
- Autoencoder
- KNN
Dashboard
Hydro
Numbers
> 740Â Plants
27 GW
Plant Components
- Power Station
- Shaft Line
- Turbine
- Oil-hydraulic System
AI Technologies
- Self Organizing Map (SOM)
- Artificial Neural Network (ANN)
Dashboard
Wind
Numbers
150 Wind Turbines
280 GW
Plant Components
- Generator
- Transformer
- Gearbox
- Main Bearing
AI Technologies
- Auto Associative Neural Network (AANN)
- Hotteling T2 Chart
- k-Means
Dashboard
The Concept
Battery Storage
Predictive Maintenance
Our Artificial Intelligence algorithms analyse in real-time a huge amount of data and automatically provide accurate information about the storage components status, in order to predict faults before they actually occur.
Input
More data, much more accuracy
We are specialized in processing huge amounts of data gathered from many different sources: from historical and real-time weather data to technical data sheets, i-EM exploits as many different data as possible to deliver the most accurate predictions.
Historical & Real -time Weather Data
- Irradiation
- Wind
- Humidity
Historical & Real-time CP Measures
- Current
- Voltage
- Frequency
- Fan Coil Signal
- Temperature
Data Sheet & Battery Requirements
- Predictive Maintenance/Digital Twin
- Power Management
- Peak load Shaving Support
- Black-start Mode
Core
A powerful engine to help humans
Our Machine Learning models make it possible to get real-time data insights which humans cannot reach, transforming complex data set in easy-to-use information on a daily basis.
Output
All your needs in a single view
Our platform is designed to provide users with a complete overview about the assets status. i-EM’s dashboard shows in an intuitive way performance KPI metrics, warnings on possible anomalies and insights about how to fix them.
Are you ready to make
this journey with us?
If you are interested in our next battery storage predictive maintenance product and you have the expertise to support us, fill the form and get in touch. We are looking for partners like you!
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