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Platform for optimizing photovoltaic consumption

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Abstract(s)

This project aims to support the development and optimization of Intelligent Environments by simulating and analyzing user behaviors within these environments. Intelligent Environments leverage technology and artificial intelligence to enhance human experiences, requiring Today, we live in a world where it is essential to have all the necessary information available at the right time and in the right place. Applications, associated with different devices such as smartphones and computers, have brought this information into our hands. In that way, this project aims to develop a platform for maximizing photovoltaic use, which helps to improve energy consumption through photovoltaic panels. The platform will manage a heat pump considering the energy generated by the photovoltaic panels, control consumption and see the current temperature. The project have used two technologies known in the field of home automation, namely node-red and mqtt, which will facilitate the connection, in order to control and obtain information from the devices. The platform will control the heat pump through the mqtt protocol using node-red. Using the application home assistant we show several graphs with information on energy consumption, heat pump temperature, the outside temperature and other information.

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Keywords

Home-assistant mqtt Node-red

Citation

Oliveira, Pedro Filipe; Matos, Paulo (2023). Platform for optimizing photovoltaic consumption. In 9th International Conference on Engineering and Emerging Technologies (ICEET). Istanbul. p. 1-6. ISBN 979-8-3503-1692-6

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