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A tool for estimating the future energy use, carbon emissions, and capital and operating cost impacts of energy efficiency and demand flexibility technologies in the U.S. residential and commercial building sectors.
An open source python package for implementing and developing standard methods for calculating normalized metered energy consumption and avoided energy use.
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.
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/
Adapted ISO13790 hourly dynamic building energy simulator (DIBS) for single buildings and building stocks - Ready to use with ENOB:dataNWG interview and on-site inspection data for the simulation of German building stocks.
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)
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)."
Thermoenergetic Performance of a Building with Phase Change Materials Under Climate Change Projections. Work complete of graduation in Energy Engineering.