- Potential Improvement in energy efficiency between 7% and 10% depending on equipment.
- Potential improvement in energy consumption by 15% approx. in peripheral systems such as cooling.
Develop AI Technologies
Pattern analysis, prediction and intelligent classification.
- Energy efficiencys diagnosis of a radio and television communication infraestructure based in Barcelona area.
- Deployment of the computing node at the edge for high-speed data sampling and online analytics.
- Dataset size: 128.06 GB.
- Number of variables: 15.
- Sampling Time: 125 μ s.
- Different radio frequency equipment has been analyzed to study their energy consumption patterns with respect to the transmission power of 20kW.
- Probabilistic clustering techniques have been used to find different groups based on the equipment consumption data.
- The diagnosis approach has helped to identify improvement opportunities in terms of the configuration of equipment parameters and also according to the type of equipment.