This project uses Machine Learning to predict the energy efficiency of buildings based off of the building's features

R package to process and store data for the IEA EBC - Annex 86 - Energy Efficient Indoor Air Quality Management in Residential Buildings project. For details visit https://annex86.iea-ebc.org/. Documentation and examples available on https://iea-ebc-annex86.github.io/annex/

This repository holds the script used for the development of the DIBS energy calibration model and the extrapolation onto the entire German non-domestic building stock. The best performing calibration models for space heating, electricty and occupancy hot water are provided via Link.

Code for the paper "Evaluating the feasibility of achieving building performance standards targets"

Data and code for the paper "An EEM by any other name: Best practices for naming energy efficiency measures"

Data and code for the paper "Developing a standardized categorization system for energy efficiency measures (1836-RP)"

Data and code for the paper "What we talk about when we talk about EEMs: Using text mining and topic modeling to understand building energy efficiency measures (1836-RP)."