Improved pollution forecasting hybrid algorithms based on the ensemble method
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DOI: 10.1016/j.apm.2019.04.032
Abstract: Abstract In a new fine particle concentrations forecasting model, the Hampel identifier outlier correction preprocessing detects and corrects the outliers in the original series. Empirical wavelet transform method decomposes the corrected series into a set… read more here.
Keywords: pollution forecasting; ensemble method; method; forecasting hybrid ... See more keywords
Air Pollution Forecasting Using a Deep Learning Model Based on 1D Convnets and Bidirectional GRU
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2921578
Abstract: Air pollution forecasting can provide reliable information about the future pollution situation, which is useful for an efficient operation of air pollution control and helps to plan for prevention. Dynamics of air pollution are usually… read more here.
Keywords: air pollution; pollution forecasting; model based; air ... See more keywords