The study and application of a novel hybrid system for air quality early-warning

Chengshi Tian
Chengshi Tian

Applied Soft Computing, pp. 729-746, 2019.

Cited by: 4|Views4
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Abstract:

Air quality early-warning plays a vital role in improving air quality and human health, especially multi-step ahead air quality early-warning, which is significant for both citizens and environmental protection departments. However, most previous studies have only employed simple data decomposition to perform one-step forecasting and were...More

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