How to characterize energy use in buildings?
Learn more about how data-driven methodologies can open possibilities for de-risking energy efficiency projects.

With the support of EN-TRACK, this interesting research has been published in Energies. It assesses how interpretable and scalable data-driven methodologies are able to provide predictions for energy use in buildings. This is essential for the accurate measurement and verification of energy renovation projects and has the potential of unlocking considerable investments in energy efficiency worldwide.

This paper proposes a Bayesian linear regression methodology that enables a detailed characterization of the analyzed buildings through the detection of typical electricity usage profiles and the estimation of the weather dependence. The range of additional results and insights provided by Bayesian methodologies prove very interesting for Measurement & Verification applications and open possibilities for de-risking analyses in energy efficiency projects.

Read the full article here.

Kickoff Meeting
On 4-5 November 2020, EN-TRACK had a succesful kickoff meeting. In the times of Covid-19 it was of course online.
Increasing Private Investments in Energy Efficiency Refurbishments
Read about how EN-TRACK will support increased energy efficiency investments.
Introduction of EN-TRACK
Watch this interview with our project coordinator, Stoyan Danov, as he explains about the goals and methodology of EN-TRACK.