Infrared remote library for ESP8266/ESP32: send and receive infrared signals with multiple protocols. Based on: https://github.com/shirriff/Arduino-IRremote/

OTGateway is a powerful open-source solution for controlling OpenTherm-compatible boilers, turning your heating system into a smart one. Set the perfect temperature, save on energy bills, and eliminate unnecessary hassle — integration with Home Assistant makes heating management simple and automated.

ESPHome component for AUX based air conditioners. Direct wifi control of HVAC by ESPHome and Home Assistant. HVAC status and command feedback are available.

Mitsubishi Electric CN105 to MQTT with ESP8266/ESP32 module

Open source heat pump controller and home automation terminal, built on ESP32

API for RL algorithm design & testing of BCA (Building Control Agent) HVAC on EnergyPlus building energy simulator by wrapping their EMS Python API

A Reinforcement Learning solution for HVAC control to optimize energy consumption. Developed by Vector Institute and TELUS.

OpenTherm library to create thermostat for OpenTherm enabled boilers and HVACs using an OpenTherm controller and an ESP32 or other microcontroller

CQC (Charmed Quark Controller) a commercial grade, full featured, software based automation system. CQC is built on our CIDLib C++ development system, which is also available here on GitHub.

Description of data exchange protocol for GREE air conditioners via UART based on reverse engineering

Niagara 4 optimization blocks mostly made by ChatGPT and tested out by Ben.

A Home Assistant component to define climate profiles and facilitate automation of climate entities.

This custom component integrates Tornado Aircon devices with Home Assistant, allowing you to control and monitor your air conditioning units directly from the Home Assistant interface.

Benchmarking building automation and control systems

Set temp limits, enforce fan modes, door/window and daily shut-off, and air cycling makes your thermostat a genius with a voice using your Smart Speaker! Please ⭐ if you like the app :)

System that learns how often a room is occupied based on time, movement, air conditioning preferences and learns on historic data. This can have a significant impact on the energy use around a house/building.

This is a framework for Automated Supervisory Optimization (ASO) with built-in BACnet methods.

Turkov integration for Home Assistant

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.

This repository contains the raw data used in "A Multi-Agent Reinforcement Learning Approach to Price and Comfort Optimization in HVAC-Systems"