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Project Designation
Project Code
Main Goal
The project aims to develop applications for the analysis and optimization of the electrical grid in response to the new challenges of the energy transition, namely the integration of distributed generation (DG) systems and electric vehicle (EV) chargers into the low-voltage network.These applications will be integrated into the Eneida DeepGrid® platform.
Beneficiary Entity
Total eligible Investment
Financial support from the European Union
Eneida.io Investment Period
Approval Date
Start Date
End Date
Framework and Objectives
The Eneida DeepGrid® software is an Operational Analytics App Platform that enables remote and online monitoring and optimization of Low Voltage (LV) networks. The visibility over the network and the developed Apps allows for greater asset utilization, increased Energy Efficiency, and improved Service Quality control.
In this project, Eneida will expand its App offering to optimize the integration of new market participants into the LV network, namely Distributed Generation and Electric Mobility.
Eneida has identified specific needs across different segments of the energy market and intends to develop a total of six Apps:
a) Detection and localization by Secondary Substations (SS), feeder, and phase of PV and other distributed generation (DG);
b) Detection and localization by Secondary Substations (SS), feeder, and phase of EVs, heat pumps, and water heaters;
c) Forecasting consumption and generation by Secondary Substation (SS), feeder, and phase;
d) Network congestion management;
e) Estimation of technical losses;
f) Customer ranking based on their flexibility.
With the development of these applications, Eneida diversifies its commercial portfolio with new products and services and shortens the product sales cycle in the market.
Currently, this cycle remains lengthy due to the time required for the development of services and products, as well as the complexity of the tenders and opportunities in which Eneida participates.
With these Apps, new business models can be developed based on subscription plans and other types of fixed revenues, allowing Eneida to create new sources of recurring income.