Deep learning for air pollutant concentration prediction: A review
Air pollution has become one of the critical environmental problem in the 21st century and
has attracted worldwide attentions. To mitigate it, many researchers have investigated the …
has attracted worldwide attentions. To mitigate it, many researchers have investigated the …
[HTML][HTML] Artificial intelligence technologies for forecasting air pollution and human health: a narrative review
Air pollution is a major issue all over the world because of its impacts on the environment
and human beings. The present review discussed the sources and impacts of pollutants on …
and human beings. The present review discussed the sources and impacts of pollutants on …
Fastest‐growing source prediction of US electricity production based on a novel hybrid model using wavelet transform
W Qiao, Z Li, W Liu, E Liu - International Journal of Energy …, 2022 - Wiley Online Library
Electricity is an important indicator for economic development, especially electricity
production (EP), which is electricity industry managers making strategic decisions. There are …
production (EP), which is electricity industry managers making strategic decisions. There are …
Short-term natural gas consumption prediction based on Volterra adaptive filter and improved whale optimization algorithm
W Qiao, Z Yang, Z Kang, Z Pan - Engineering Applications of Artificial …, 2020 - Elsevier
Short-term natural gas consumption prediction is an important indicator of natural gas
pipeline network planning and design, which is of great significance. The purpose of this …
pipeline network planning and design, which is of great significance. The purpose of this …
A new hybrid algorithm model for prediction of internal corrosion rate of multiphase pipeline
S Peng, Z Zhang, E Liu, W Liu, W Qiao - Journal of Natural Gas Science …, 2021 - Elsevier
Pipeline plays an important role in the oil and gas transportation industry. In recent years,
more and more pipeline damages and breakdowns are caused by corrosion, which hurts the …
more and more pipeline damages and breakdowns are caused by corrosion, which hurts the …
A systematic literature review of deep learning neural network for time series air quality forecasting
Rapid progress of industrial development, urbanization and traffic has caused air quality
reduction that negatively affects human health and environmental sustainability, especially …
reduction that negatively affects human health and environmental sustainability, especially …
COVID-19 lockdowns and air quality: Evidence from grey spatiotemporal forecasts
This paper proposes a novel grey spatiotemporal model and quantitatively analyzes the
spillover and momentum effects of the COVID-19 lockdown policy on the concentration of …
spillover and momentum effects of the COVID-19 lockdown policy on the concentration of …
Machine learning models to quantify and map daily global solar radiation and photovoltaic power
Y Feng, W Hao, H Li, N Cui, D Gong, L Gao - Renewable and Sustainable …, 2020 - Elsevier
Global solar radiation (R s) reaching Earth's surface is the primary information for the design
and application of solar energy-related systems. High-resolution R s measurements are …
and application of solar energy-related systems. High-resolution R s measurements are …
Daily natural gas load forecasting based on the combination of long short term memory, local mean decomposition, and wavelet threshold denoising algorithm
S Peng, R Chen, B Yu, M Xiang, X Lin, E Liu - Journal of Natural Gas …, 2021 - Elsevier
With the opening of the third energy revolution, the booming development of the natural gas
industry in China has led to the existing pipeline network facilities no longer meeting the gas …
industry in China has led to the existing pipeline network facilities no longer meeting the gas …
Investigation of nearby monitoring station for hourly PM2. 5 forecasting using parallel multi-input 1D-CNN-biLSTM
M Zhu, J Xie - Expert Systems with Applications, 2023 - Elsevier
Air quality forecasting is a hot research topic that has been widely explored by the whole
society. To better understand environmental quality, numerous methods have been …
society. To better understand environmental quality, numerous methods have been …