An Advanced Artificial Intelligence-Driven Smart Home Towards Ontology-Based Energy Efficiency Management System
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3466-5_24
Reference15 articles.
1. Lin Y-H, Tang H-S, Shen T-Y, Hsia C-H (2022) A smart home energy management system utilizing neurocomputing-based time-series load modeling and forecasting facilitated by energy decomposition for smart home automation. IEEE Access 10
2. Toshpulotova S, Fayaz M (2022) A cohesive machine learning-based model for energy consumption prediction in smart homes. In: 2022 international conference on electrical and computing technologies and applications (ICECTA)
3. Chen L, Gunay HB, Shi Z, Shen W, Li X (2020) A metadata inference method for building automation systems with limited semantic information. IEEE Trans Autom Sci Eng 17(4)
4. Umair M, Shah GA (2020) Energy management of smart homes. In: 2020 IEEE international conference on smart computing (SMARTCOMP), Year: 2020
5. Schrettenbrunnner MB (2020) Artificial-intelligence-driven management. IEEE Eng Manag Rev 48(2)
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