SENSEI project aims at improving energy efficiency in European building stock by implementing smart energy services. In particular, the project supports the pay-for-performance (P4P) concept for designing public programmes to increase energy efficiency.

Moreover, the project focuses on "metered savings" through which energy savings can be monitored before and after the intervention. Software and hardware developments have enriched metered saving methods and they build on the increasing availability of granular energy consumption data stemming from smart meters and on automated processes. For example, the project has developed a next generation energy efficiency meter named “eensight” based on machine learning.

Original source