As a homeowner aiming to optimize energy efficiency, I’ve been exploring the concept of learning thermostats and how they can be integrated into a smart home ecosystem. The idea of a thermostat that adjusts heating schedules based on real-world performance to meet target temperatures at specific times is fascinating. For instance, if I set the temperature to 70°F at 6 AM, the system should learn that it takes about an hour to reach that temperature from 62°F overnight and start heating earlier accordingly.
While some thermostats offer this functionality, integrating it with a hub like Vera presents a challenge since Vera takes over scheduling. I’ve come across plugins like Smart Virtual Thermostat, but their limitations have led me to consider custom solutions. This has sparked an interest in using Persistent Variables or Arrays in Vera to store heating schedules and using simple math functions to adjust them based on observed heating times. The goal is to create a system where Vera can dynamically adjust heating schedules without relying on third-party plugins.
In parallel, I’ve been experimenting with Tasmota firmware on Sonoff Basic R2 switches to control lighting schedules. By leveraging MQTT, I’ve set up timers that randomly vary action times by up to 15 minutes, creating a more natural lighting pattern when the house is unoccupied. This setup not only enhances security but also reduces energy consumption by avoiding strict schedules. The integration involves configuring MQTT topics for timer commands and using OpenHAB to manage these timers through a user-friendly dashboard.
For those interested in replicating this setup, here’s a brief overview:
- Tasmota Configuration: Ensure the device knows its timezone and location for accurate sunrise/sunset calculations.
- MQTT Setup: Define topics for timer commands and state reporting within your MQTT broker.
- OpenHAB Integration: Use MQTT bindings to create items that interact with the timers, allowing adjustments to time, window (randomization range), and mode (fixed time, sunrise, sunset).
- Dashboard Design: Create a dashboard in OpenHAB to visualize and control each timer, making it easy to enable/disable and adjust settings.
This approach combines the flexibility of MQTT with the powerful automation capabilities of OpenHAB, offering a scalable solution for smart home enthusiasts. Whether you’re looking to optimize heating schedules or create believable lighting patterns, these methods provide a solid foundation for experimentation and customization.