Cargando…
Energy Prediction and Optimization for Smart Homes with Weather Metric-Weight Coefficients
Home appliances are considered to account for a large portion of smart homes’ energy consumption. This is due to the abundant use of IoT devices. Various home appliances, such as heaters, dishwashers, and vacuum cleaners, are used every day. It is thought that proper control of these home appliances...
Autores principales: | Mehmood, Asif, Lee, Kyu-Tae, Kim, Do-Hyeun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099256/ https://www.ncbi.nlm.nih.gov/pubmed/37050700 http://dx.doi.org/10.3390/s23073640 |
Ejemplares similares
-
A Comprehensive Predictive-Learning Framework for Optimal Scheduling and Control of Smart Home Appliances Based on User and Appliance Classification
por: Shafqat, Wafa, et al.
Publicado: (2022) -
Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric
por: Boughorbel, Sabri, et al.
Publicado: (2017) -
Optimal Energy Scheduling Based on Jaya Algorithm for Integration of Vehicle-to-Home and Energy Storage System with Photovoltaic Generation in Smart Home
por: Wang, Min, et al.
Publicado: (2022) -
Coefficient of variation as an image-intensity metric for cytoskeleton bundling
por: Higaki, Takumi, et al.
Publicado: (2020) -
Mask Adherence and the Relationship Between Masking and Weather-Related Metrics
por: Jones, Resa M., et al.
Publicado: (2023)