Invention:
This technology utilizes a novel management framework for thermostats targeted towards the end-user. Using a data-driven prediction component to learn data relationships, this technology predicts future HVAC loads within a given time frame. In its totality, the cost-effective hardware monitor with cloud-based computation and control calculations has the potential to help homeowners or building operators predict their HVAC load and plan accordingly for costs.
Background:
Thermostats often use closed-loop controls which require a state-update function and frequent modifications of the optimization functions. Overall, the standard techniques for close-loop controls are inefficient and disturbances can have high impacts on performance of the thermostat. This technology makes the closed-loop control more efficient and allows users to predict how much their HVAC will cost.
Applications:
Advantages:
- In-expensive hardware
- Cloud compatible
- Predictive capabilities
Status: issued U.S. patent #9,429,961
