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... by ITCL | Apr 4, 2018 | "Energy Technologies" Projects, Deep learning and Artificial Intelligence
Feasibility study of a 4.0 Platform, based on BIM, for the study and simulation of the behaviour of a building National Project The main objective of the project is to analyze the technical feasibility of designing and developing a “Real Time Building... 
by ITCL | Feb 20, 2017 | "Energy Technologies" Projects, Deep learning and Artificial Intelligence, Safe and healthy food chain
OPTILACTEO. Integration and improvement of dairy farm management based on sustainability criteria. National Project File: RTC-2016-5612-2 OPTILACTEO is a project of the Call for Challenges-Collaboration of the Ministry of Economy, Industry and Competitiveness with the... 
by ITCL | Feb 3, 2016 | "Energy Technologies" Projects, Deep learning and Artificial Intelligence, European projects
Improving energy efficiency in industrial water processes through benchmarking and benchlearning tools in Europe manufacturing industry European Project File: 696112 The Energywater Project has been funded by the European Commision under the H2020 program which is the... 
by ITCL | Apr 29, 2015 | "Energy Technologies" Projects
Research and development of innovative systems towards identifying, quantifiying and controlling of key parameters regarding energy consumpton and environmental impact of capital equipment in industrial companies Regional Project File: CCTT10BU002 The aim of IDECOBIEN...