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

Our Predictive Maintenance raises revenue up to

%

Our Predictive Maintenance predicts

%

of system failures before they occur

Our Forecasting service varies by less than

%

from the real data

(2,5 – 4% NMAE -Normalized Mean Absolute Error)

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

Solar

Numbers

13 Plants

> 50 GW

Plant Components

  • Inverter

AI Technologies

  • Self Organizing Map (SOM)
  • Artificial Neural Network (ANN)
  • Autoencoder
  • KNN

Dashboard

Hydro

Numbers

> 740 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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WANT TO KNOW MORE?

Write directly to us and we will find together the best solution to meet your needs