Data and code for the paper "An EEM by any other name: Best practices for naming energy efficiency measures"
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Updated
May 3, 2023 - R
Data and code for the paper "An EEM by any other name: Best practices for naming energy efficiency measures"
Thermoenergetic Performance of a Building with Phase Change Materials Under Climate Change Projections. Work complete of graduation in Energy Engineering.
Paper in Science and Technology for the Built Environment about the GEPIII Competition
The Res-IRF model is a tool for simulating energy consumption for space heating in the French residential sector.
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/
Measurement and Verification Building Energy Prediction (MVBEP)
National-scale Building Energy Models based on Energy Performance Certificates
Code for the paper "Evaluating the feasibility of achieving building performance standards targets"
This repository is the official implementation of [Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight](Energy and Buildings)
Example files for getting started using Sitka for modeling and analysis.
This project uses Machine Learning to predict the energy efficiency of buildings based off of the building's features
Yet another Sorption system simulation tool
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)."
Thermal is a simple physics library, performing heat transmittance & condensate calculations.
Demo notebooks for OpenGrid
A predictive model based on load profiling
The measurement and verification methodology of the H2020 project SENSEI
A LiDAR-Derived Point Cloud Dataset of One Million English Buildings Linked to Energy Characteristics
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