Predictive Maintenance in Air Conditioning System (SMART OTEA SE-01) (ITMATI-C29-2015)

The main goal of this project is the definition of an algorithm that allows predicting the risk of incidents or the lack of comfort in a network of commercial premises. The existing platform, owned by EcoMT, was improved to forecast the risk of incidents, such as cooling or overheating, in the air conditioning system depending on the outside temperature.
OTEA controls, monitors and manages the energy, synonymous with business intelligence.

  • Sector: Energía
  • Investigador Principal: Javier Roca Pardiñas
  • Empresa: EcoMt