Deep learning based predictive analysis of energy consumption for smart homes
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18758-z.pdf
Reference33 articles.
1. Gray CA, Acces M (2018) Energy consumption of Internet of Things applications and services. Minerva Acces. http://hdl.handle.net/11343/224197. Accessed 15 Aug 2023
2. Domb M ( 2019) 'Smart home systems based on Internet of Things’, IoT and Smart Home Automation [Working Title]. IntechOpen. https://doi.org/10.5772/intechopen.84894
3. Jo H, Yoon YI (n.d.) Intelligent smart home energy efficiency model using artificial tensorflow engine - human-centric computing and Information sciences, SpringerLink. https://doi.org/10.1186/s13673-018-0132-y
4. Balachandran A, Ramalakshmi, Venkatesan M, Lakshmi K, Jahnavi, Jothi V (2019) Energy consumption analysis and load management for Smart Home. 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), pp 46–49. https://doi.org/10.1109/ICOEI.2019.8862734
5. Kalezhi J, Ntalasha D, Chisanga T (2018) Using internet of things to regulate energy consumption in a home environment. IEEE PES/IAS PowerAfrica 2018:551–555. https://doi.org/10.1109/PowerAfrica.2018.8521060
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