Lai, Zhenpeng (2025) LSTM-Driven Smart Home System: A Study of Temperature and Humidity Prediction and Energy Management. In: Proceedings of the 2nd International Conference on Machine Learning and Automation, CONF-MLA 2024, November 21, 2024, Adana, Turkey.
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Abstract
Smart home systems (SHS) have gained significant popularity due to their inherent convenience. Using Internet of Things (IoT) technology, SHS can automatically adapt indoor environments according to user needs. However, most existing SHS rely on preset configurations and lack the ability to predict
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 18:26 |
| Last Modified: | 16 Apr 2026 21:39 |
| URI: | http://eprints.eai.eu/id/eprint/52523 |
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