TEMA seeks to advance the analysis of "extreme data" within the field of natural disaster management.
LAGO (Lessen data Access and Governance Obstacles) will develop a European research data ecosystem (EU-RDE) roadmap for the f
SEDIMARK focuses on merging the expertise of a large team of specialists to build a decentralized, secure, reliable and intelligent data and services marketplace&nbs
Climate Change will increase the number and intensity of heat waves and weather extremes, which we must adapt to by protecting vulnerable groups and installing resilient infrastructures.
Large amounts of valuable data are available in energy systems but are often underused.
The project aims to allow the power distribution grid to operate in a secure and stable manner when a large share of variable renewable electricity sources is connected to low and medium voltage gr
Aims to demonstrate innovative 100% fossil free heating and cooling solutions for new and existing district heating and cooling systems. The solutions will integrate:
GIDPROvis brings two original and breakthrough technologies - Gas Ion Distillation (GID) and Sequential Ion Processing (PRO) that allows an ultra fast identification of volatile chemica
GRAPEVINE is the European initiative that will improve current pest prediction and control systems in the wine sector, thanks to Big Data and Artificial Intelligence techno
The PHOENIX approach focuses on the protection of the European end-to-end EPES (Electrical Power and Energy System) (from energy production to presumption) via the
Aims at increasing the role in Europe for Local Energy Communities (LECs) to speed up the grid integration of Renewable Energy Sources (RES), facing challenges as the lack of flexibility when plann
Aims to deliver a community-driven scalable and replicable approach, to implement new business models and technologies supporting clean production and shared distribution of energy in local communi
MERLON introduces an integrated modular local energy management framework for the holistic operational optimisation of local energy systems in the presence of high shares of volatile distributed re