Developed within SENSEI project, eensight is an advanced machine learning tool designed to enhance automated measurement and verification (M&V) methods for energy efficiency. Referred to as M&V 2.0, it combines real-time data and predictive modelling to understand building energy consumption and provide continuous feedback on the impact of energy efficiency interventions.

Eensight offers crucial insights for investors, energy companies, legislators, and building owners, enabling accurate risk assessment and evaluation of benefits. By facilitating energy efficiency project aggregation and support programs, it aims to increase investments in energy efficiency retrofitting projects, thereby contributing significantly to the decarbonisation of the European building stock.

The tool is reproducible and open-source and can be accessed here.

A video also explains in more detail how to use the tool.