A kaggle case study to predict energy consumption.
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Updated
Jun 20, 2021 - Jupyter Notebook
A kaggle case study to predict energy consumption.
To calculate the comfort temperature from the standard of ASHRAE-55
Proof-Of-Concept of an ASHRAE Teminology site using GitHub Pages and MkDocs.
Paper in Science and Technology for the Built Environment about the GEPIII Competition
Systematised F01-Psychrometric chapter of 2017 ASHRAE fundamentals with examples
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)."
ASHRAE inverse modeling toolkit의 MATLAB 버전
Data and code for the paper "An EEM by any other name: Best practices for naming energy efficiency measures"
The idea I cannot shake is why is there not a free building automation system (BAS) supervisory framework for starters and why not make it fun?!
Data and code for the paper "Developing a standardized categorization system for energy efficiency measures (1836-RP)"
ASHRAE Standard 205 - Heat Pump Design Model supply; This package helps OEMs to convert HPDM output to STD 205 format; it also provide some RS sample tables.
HVAC Engine: Psychrometrics (Humid Air) analysis Java library. Humid air properties and thermodynamic processes, flows, heating, cooling, air mixing and more. Immutable, thread-safe, very accurate.
ASHRAE model for moist air in pure julia
This is a simple example of how to run CoolProp Javascript wrapper with Units handled by mathjs
Analysis of top give winning solutions of the ASHRAE Great Energy Predictor III competition
📚 Library of psychrometric functions to calculate 🌡️ thermodynamic properties of air for Python, C, C#, Fortran, R, JavaScript and VBA/Excel
BACnet protocol library for .NET 📡
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