Success Story: Improvement of the remote expert system based on software OTEA

NCC presenting the success story

NCC Spain

Client/user profile:

EcoMT is an ICT company that develops and integrates remote control and monitoring of facilities. CESGA, Spain, is the centre for computing, high performance communications systems and advanced services.


The savings of clients connected to the OTEAres platform operated by EcoMT, would be immediate using ML algorithms and HPC which is essential for real-time operations. OTEAres enables decision support in real time offering a 24/7 service through its control center, which is the department in charge of controlling the proper functioning of the installations, remotely resolving incidents in the shortest time possible.

The update of the deterministic previous version into a new ML model capable of predicting and organizing a wider range of incidents. It is estimated an energy saving of 7% per installation, a reduction of 30% in preventive maintenance visits and a reduction of 20% in corrective maintenance.

Technical/scientific Challenge:

New facilities with a growing number of Heating, Ventilation and Air-conditioning (HVAC) machines produce huge amounts of data. Usually, a deterministic system with brute force conditions was applied to detect comfort anomalies in more than 3,000 installations worldwide, with 600,000 variables monitored resulting in 3 trillion records for 5 years. The challenge of this experiment was to replace the brute force solution with a superior ML model. Like the brute force model, the ML model is numerically intensive and needs the use of HPC.


The OTEA remote expert system (OTEAres) was developed as an expert remote management system with an aim for energy optimization through the premature detection of incidents based on historical records.

Key points before agreeing on project:

  • Data confidentiality
  • NDA

This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 951732. The JU receives support from the European Union’s Horizon 2020 research and innovation program and Germany, Bulgaria, Austria, Croatia, Cyprus, the Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, the United Kingdom, France, the Netherlands, Belgium, Luxembourg, Slovakia, Norway, Switzerland, Turkey, Republic of North Macedonia, Iceland, Montenegro