Short-Term PM2.5 Prediction Based on Multi-Modal Meteorological Data for Consumer-Grade Meteorological Electronic Systems

Air pollution poses a significant challenge to social sustainability, and accurately predicting PM2.5 concentrations is vital for effective air quality management. In this paper, we introduce a consumer-grade smart PM2.5 prediction system utilizing IoT communication among electronic consumer product...

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Veröffentlicht in:	IEEE transactions on consumer electronics 2024-02, Vol.70 (1), p.3464-3474
Hauptverfasser:	Wang, Lina, Jin, Xiaochen, Huang, Zengyang, Zhu, Han, Chen, Zheyi, Liu, Yimin, Feng, Hailin
Format:	Artikel
Sprache:	eng
Schlagworte:	Air pollution Air quality Atmospheric modeling Computational modeling Consumer products Data models Deep learning Dynamic characteristics electronic consumer products Electronic systems Meteorological data Meteorology Outdoor air quality PM25 forecast Predictive models principal component analysis Principal components analysis Quality management Root-mean-square errors Social systems Sustainable development variational mode decomposition wavelet domain denoising
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