Daily urban air quality index forecasting based on variational mode decomposition, sample entropy and LSTM neural network
Bibliographic Data
| ID | 21230715 |
|---|---|
| Authors | Qunli Wu (0000-0002-1139-8830, North China Electric Power University), Huaxing Lin (North China Electric Power University, corresponding author) |
| Year | 2019 |
| Volume | 50 |
| Pages | 101657 |
| Publication date | 2019-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2019.101657 |
| OpenAlex | W2952570801 |
| Language | EN |
| Citations received | 12 |
| References cited | 28 |
Air quality index · Artificial neural network · Beijing · Geography · Machine learning · Meteorology · Sample entropy · Time series · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Computer Science · Noise Effects and Management · Artificial Intelligence
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| Citations per year | 2 |
|---|---|
| Citation span | 2020 - 2026 (7) |
| Highly cited | No |