by ITCL | Feb 14, 2023 | "Energy Technologies" Projects
Agora – Advanced manaGement and cOntRol for buildings smArtness Project Description: Buildings are responsible for most of the European final energy consumption (40%) and represent the greatest potential for energy savings – as 75% of existing buildings in...
by ITCL | Dec 14, 2021 | "Energy Technologies" Projects, Deep learning and Artificial Intelligence, National projects
Brain EN – Research in Energy Efficient and Environmentally Sustainable Microgrid Oriented Technologies Brain EN Consortium is committed to 21st century energy aimed at distributed generation, integrated in microgrids with own generation and self-consumption,...
by ITCL | Jun 3, 2021 | "Energy Technologies" Projects, Deep learning and Artificial Intelligence, Regional project
TEEP – Research in Innovative Technologies for the Optimization of Energy Efficiency in Production Processes To achieve the optimization of energy efficiency in companies with high consumption in their production processes through industrial research using...
by ITCL | Jun 30, 2020 | "Electronics and Artificial Intelligence" projects, "Energy Technologies" Projects, Deep learning and Artificial Intelligence, European projects
Sudoe Hospital 4.0 – Intelligent energy management in hospital buildings Hospitals are buildings of continuous use, which have very specific air conditioning requirements in their different spaces and are conditioned to a climatological evolution characteristic...
by ITCL | Jun 23, 2020 | "Energy Technologies" Projects, Deep learning and Artificial Intelligence
ERAES – Autonomous Rural Spaces for Sustainable Energy Project Description: An ERAES (Autonomous Rural Space for Sustainable Energy) is a rural territory or community, outside the influence of large population centers and their metropolitan areas, whose...
by ITCL | Dec 13, 2018 | "Energy Technologies" Projects, Deep learning and Artificial Intelligence
ProefiAIRE – Development of tools for the control and improvement of the energy efficiency of vacuum and compressed air production systems. The project has conducted research on the monitoring and intelligent control of the energy efficiency of vacuum and...