After the assessment and evaluation of 126 submitted applications from 27 European Union and Associated Countries, the I-NERGY project has selected the 10 winning proposals to join its first 6-month long Technical Transfer Programme, starting at the end of April 2022, which includes up to 50,000 Euros funding per beneficiary and mentoring services.

Teams have the goal to develop building blocks and applications for new AI algorithms/services and small-scale experiments (Prototypes) to address specific cross-sectorial Challenges within the Energy sector and to enhance Europe’s AI on-demand platform, AIoD.

The 10 finalists are made up of the following small and medium-sized enterprises from 6 European Countries:

ADIOS, a project around anomaly detection for grid operational stability coordinated by IKIM ltd in Ireland, it will solve challenges in two areas of experimentation: AI applications in energy and Predictive maintenance.

AI4Demand, an AI-based multi-layer tool for building energy consumption and demand prediction using local weather forecasts and sensor data, coordinated by AMPER S&C IoT S.L in Spain, will solve challenges in two areas of experimentation: AI applications in energy and Demand forecast.

AI4EOHotel, bringing to life Big-data from Hotels to forecast their Energy Consumption Patterns and Optimise their Energy Use, led by Energy Research & Intelligence Solutions, S.L.U. (EnergyRIS) in Spain, it will solve challenges in different domains: AI applications in energy, Analytical applications in energy, Monitoring, energy usage optimisation and Demand forecast.

AI4Hydro, led by AvailabilityPlus GmbH in Germany and with the mission to extend the remaining useful life of hydro-turbines, it will deal with challenges in three areas of experimentation: AI applications in energy, Analytical applications in energy and Predictive maintenance.

DemandData, an initiative Releasing the value of smart meter data led by Advanced Infrastructure OÜ in Estonia, will solve challenges in different areas of experimentation: Data governance and data valorisation for energy services, Analytical applications in energy, Monitoring, energy usage optimisation and Demand forecast.

E-ModelOps, the world's first ModelOps platform tailored for energy open source forecasting, optimisation and simulation use-cases led by Snowball Technologies AB (previously Greenlytics AB) in Sweden, it will solve challenges in different domains: AI applications in energy, Data governance and data valorisation for energy services, Analytical applications in energy, Monitoring, energy usage optimisation and Demand forecast.

Maintenet, a project bringing the power of prediction into the electric distribution network and critical assets, led by Mipu Energy Data in Italy, it will provide solutions in the predictive maintenance area of experimentation.

SmartRIVER, a global AI-based Digital Twin solution for AI-driven hydropower energy intelligence and optimal production forecasting under the coordination of GECOsistema srl in Italy, it will be providing solutions for AI applications in energy.

SnowPower, a software as a service (SaaS) that enables utilities to monitor and predict hydropower generation, providing an estimate of the snow water equivalent, led by Amigo s.r.l. in Italy, it will be tackling challenges in two areas AI applications in energy and Monitoring, energy usage optimisation.

SuperPower, a project around super-resolution applied to drone imagery to improve power line monitoring, led by FuVeX Civil SL in Spain, it aims to solve challenges in two areas of experimentation: AI applications in energy and Predictive maintenance.

What is next?

Stay tuned for our second Open Call in October 2022. You can find out more at: https://i-nergy-opencalls.fundingbox.com/

See more here.