Power Share: AI Energy Sensor Interface for Google Home/Assistant

11/17/2022

The climate crisis is pushing the requirements for more efficient energy management systems and increasing the introduction of renewable energies. These energy management systems are able to control the consumption and production of distributed households. For instance, some of these systems can measure the energy produced by solar panels, as well as the energy consumed by the multiple appliances used on a daily basis providing feedback and guidance. These systems are usually composed of smart meters, plug-level sensors, and other components that communicate with each other to provide reliable and real-time information about household energy. The project described here builds and extends on a previous system to control and provide feedback on a house's energy consumption and production, a small factory, and a restaurant. Here we improve on the previous system by introducing a scenario of a small-industry, and restaurant setting while also exploring how natural language assistants can improve the interaction with such systems. Given that, this project will integrate Google Assistant to deliver, through a natural language interface, all the information that the user needs about the energy consumption and production in their place. This solution will then be evaluated by a set of families in order to simulate the day to day life of a family, as well as in a restaurant and factory environment, where it will be evaluated qualitatively in terms of its performance and efficiency.

Authors in the community:

• 

  F

  Francisco Santos Fialho

  ist198843

Supervisors of this institution:

• 

  D

  Duarte Nuno Jardim Nunes

  ist132720

electrical-engineering-electronic-engineering-information-engineering - Electrical engineering, electronic engineering, information engineering

eng - English

Instituto Superior Técnico