LSTM-Driven Smart Home System: A Study of Temperature and Humidity Prediction and Energy Management

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

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.4108/eai.21-11-2024.2354581
Primary Topic
Energy and Environmental Systems
Type
article
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article

LSTM-Driven Smart Home System: A Study of Temperature and Humidity Prediction and Energy Management

Zhenpeng Lai
Energy and Environmental Systems
article

LSTM-Driven Smart Home System: A Study of Temperature and Humidity Prediction and Energy Management

Zhenpeng Lai
article en

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

Affordable and clean energy
Openalex Percentile: Top 95%
Energy and Environmental Systems
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LSTM-Driven Smart Home System: A Study of Temperature and Humidity Prediction and Energy Management — Zhenpeng Lai · (2025) | TGRS Research Map | TGRS