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Slowly building up a collection of parts we use here ... This file includes some library parts from microbuilder.eu Most of 'em are either Eagle parts that I've changed a little to make them easier to solder, some are 'handmade' and a few are from microbuilder.eu Its released into the Public Domain - that means you can do whatever you want. We'd like it if you kept the author email/url in the part description, just so we can be alerted if there are errors. Enjoy!
A Modelica model library for building performance simulations
open-source electronics prototyping platform
This is my first contribution to kaggle competitions. In this competition, We are demanded to develop accurate models of metered building energy usage in the following areas: chilled water, electric, hot water, and steam meters. The data comes from over 1,000 buildings over a three-year timeframe. With better estimates of these energy-saving investments, large scale investors and financial institutions will be more inclined to invest in this area to enable progress in building efficiencies.
Analysis of top give winning solutions of the ASHRAE Great Energy Predictor III competition
We are using a dataset related to ASHRAE – Great Energy Predictor III (How much energy will a building consume?). The goal is to develop models from ASHRAE’s 2016 data in order to better understand metered building energy usage in the following areas: chilled water, electric, hot water, and steam meters. The data comes from over 1,000 buildings over a one-year timeframe. The method chosen to solve the problem is Linear Regression.
Building Controls Virtual Test Bed
Building Energy Simulation (BeSim) toolbox for user-friendly and fast development and simulation of advanced building climate controllers in Matlab.
test a set of building load analytic algorithms.
A collection of models for building load forecasting
Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition
Python modules for automating Modelica simulations and for running unit test for the Buildings library
Containerized Framework for Building Control Performance Comparisons (CFBCPC)
Dockerfile that is used for the JModelica regression testing of the Buildings library and of BuildingsPy
Docker file for OpenAI gym, pyTorch and jModelica. This is the virtual environment for deep reinforcement learning control on a Modelica/EnergyPlus environment.
deep reinforcement learning control for a building energy system using high performance computing
Modelica example model for hardware-in-the-loop using dSpace
This software is a part of Eggduino, a project of ICBP (International Centre for Birds of Prey), supported by microduino and their friends.
Automatically generate weather and electric price input data files using real-life historical data from free, open datasets. A selection of pre-made .epw files. Quickly analyze results of EnergyPlus simulations.
Simulate runtime binded EnergyPlus models from Matlab/Simulink.
End-to-end ML approach for predicting counterfactual building energy consumption
Model predictive control for boiler temperature control of espresso machines
Python package for state and parameter estimation
Modelica library allowing low-order grey-box modelling of buildings for model predictive controllers (MPC) or aggregators.
Implementation of a building hierarchical control for Microgrid using Model Predictive Control (MPC).
Smart irrigation system based on IOT using Django server along with NodeMCU (ESP8266)
JModelica is a software platform based on the Modelica modeling language for modeling, simulating, optimizing and analyzing complex dynamic systems.
Specification of a graphical user interface for editing Modelica models of HVAC and control systems
Microduino Tutorials
micropython for Microduino-CoreESP
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.