Model for Identification of Electrical Appliance and Determination of Patterns Using High-Resolution Wireless Sensor NETWORK for the Efficient Home Energy Consumption Based on Deep Learning

Model for Identification of Electrical Appliance and Determination of Patterns Using High-Resolution Wireless Sensor NETWORK for the Efficient Home Energy Consumption Based on Deep Learning

The growing demand for electricity and the constant increase in electricity rates have intensified the interest of residential and non-residential energy consumers to reduce their energy consumption. The introduction of non-conventional renewable energies (photovoltaic and wind, in the residential c...

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Dettagli Bibliografici
Autori principali:	Fernando Ulloa-Vásquez, Victor Heredia-Figueroa, Cristóbal Espinoza-Iriarte, José Tobar-Ríos, Fernanda Aguayo-Reyes, Dante Carrizo, Luis García-Santander
Natura:	Articolo
Lingua:	English
Pubblicazione:	MDPI AG 2024-03-01
Serie:	Energies
Soggetti:	deep learning AMR smart-meter smart-socket HEMS smart-cities
Accesso online:	https://www.mdpi.com/1996-1073/17/6/1452

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