A Comprehensive Predictive-Learning Framework for Optimal Scheduling and Control of Smart Home Appliances Based on User and Appliance Classification

Energy consumption is increasing daily, and with that comes a continuous increase in energy costs. Predicting future energy consumption and building an effective energy management system for smart homes has become essential for many industrialists to solve the problem of energy wastage. Machine lear...

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Detalles Bibliográficos
Autores principales: Shafqat, Wafa, Lee, Kyu-Tae, Kim, Do-Hyeun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824666/
https://www.ncbi.nlm.nih.gov/pubmed/36616725
http://dx.doi.org/10.3390/s23010127

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824666/
https://www.ncbi.nlm.nih.gov/pubmed/36616725
http://dx.doi.org/10.3390/s23010127

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