A toolkit providing easy and unified access to building control environments for reinforcement learning (RL). No longer actively maintained.
A curated list of awesome projects applying reinforcement learning (RL) to building control.
Supplementary material to the paper "An experimental evaluation of Deep Reinforcement Learning algorithms for HVAC control".
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 contains the implementation of reinforcement learning algorithms for optimizing energy demand response in commercial buildings. The project focuses on reducing peak loads and improving energy efficiency by controlling HVAC and lighting systems using state-of-the-art RL techniques.
Automate building energy simulation implementation in Modelica
energy hub optimization for multiple individual buildings using calliope, based on City Energy Analyst's file structure and simulation results.
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