Multiple strategies for a novel hybrid forecasting algorithm of ozone based on data-driven models
Ground-level ozone is an air pollutant that has adverse impacts on human health and vegetation growth. The accurate prediction of ozone concentrations is essential for developing strategies for ozone mitigation. To obtain a better forecasting model to predict ozone, this study provides a detailed di...
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| Vydané v: | Journal of cleaner production Ročník 326; s. 129451 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Elsevier Ltd
01.12.2021
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| Predmet: | |
| ISSN: | 0959-6526, 1879-1786 |
| On-line prístup: | Získať plný text |
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