Rhasspy (pronounced RAH-SPEE) is an open source, fully offline voice assistant toolkit for many languages that works well with Home Assistant, Hass.io, and Node-RED.
Summary
Calaos- designed as a full-stack home automation platform, including a server application, touchscreen interface, web application, native mobile applications for iOS and AndroidDomoticz- a home automation system with a pretty wide library of supported devices, ranging from weather stations to smoke detectors to remote controls, and a large number of additional third-party integrations are documented on the project's websiteHome Assistant- open source home automation platform designed to be easily deployed on almost any machine that can run Python 3, from a Raspberry Pi to a network-attached storage (NAS) deviceMisterHouse- uses Perl scripts to monitor anything that can be queried by a computer or control anything capable of being remote controlledOpenHAB- short for Open Home Automation Bus, is one of the best-known home automation tools among open source enthusiasts, with a large user community and quite a number of supported devices and integrations; written in JavaOpenMotics- home automation system designed to provide a comprehensive system for controlling devices, rather than stitching together many devices from different providers.
SmartThings turns your ordinary home into a smart home. Easily monitor and control lights, locks, temperature, and more from anywhere in the world using your smartphone.
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The growing demand for electricity, coupled with increased efficiency requirements, creates new opportunities for the development of demand-side management systems. Here we describe an approach for load allocation among different classes of device. We adopt the concept of strategic choice to determine the optimal strategy for a given situation. Electricity resources are allocated based on demand, priority, fairness, the available electrical resources, and the budget, so that even when the unit price is high (i.e., the available resources are restricted), higher-priority devices continue to operate without interruption. When the price falls, resources are distributed to satisfy the requirements of a larger number of devices. We include ESSs (energy storage systems) in the algorithm to reserve energy during low-price times for use during high-price times. The algorithm described here can be used to allocate resources among heterogeneous devices, and has potential not only to reduce peak demand but also to increase the overall efficiency of the system.
AIM's main objective is to foster a harmonised technology for profiling and managing the energy consumption of appliances at home. AIM will introduce energy monitoring and management mechanisms in the home network and will provide a proper service creation environment to serve virtualisation of energy consumption, with the final aim of offering users a number of standalone and operator services.