Oct 19, 2024 · We present a data-driven methodology for assessing commercial buildings' potential savings with advanced control techniques, focusing on the EU context.

Oct 23, 2024 · We present a data-driven methodology for assessing commercial buildings' potential savings with advanced control techniques, focusing on the EU context.

Oct 19, 2024 · Statistical and machine learning approaches are being explored to improve the energy baseline models used to measure and verify savings. One ...

The approach uses hourly energy consumption data from 15 buildings to identify consumption patterns, cluster buildings, and predict energy savings without the ...

The approach uses hourly energy consumption data from 15 buildings to identify consumption patterns, cluster buildings, and predict energy savings without the ...

Predictive energy modeling can help building owners and managers understand how to maximize operational efficiency.

Building Potential Energy Savings Estimation Through Portfolio-Based Modeling ... with adaptive machine-learning-based model for building energy efficiency ...

Building potential energy savings estimation through portfolio-based modeling. 4th Energy Informatics Academy Conference. Springer [forthcoming]. Copy.

The Council considers three factors in ascertaining the cost-effective energy efficiency potential of measures: technical feasibility, technical achievability ...

This Energy Audit and Building Retrofit Blueprint includes a high-level overview of the process and benefits of energy audits and building retrofits.