Factors affecting carbon emissions in emerging economies in the context of a green recovery: Implications for sustainable development goals
As governments, business leaders, and other stakeholders discuss green recovery, this
research examines the combined effects of energy poverty, renewable energy consumption …
research examines the combined effects of energy poverty, renewable energy consumption …
Air quality index forecast in Beijing based on CNN-LSTM multi-model
J Zhang, S Li - Chemosphere, 2022 - Elsevier
Accurate predicting the air quality trend can provide a theoretical basis for environmental
protection management and decision-making. This study proposed the convolutional neural …
protection management and decision-making. This study proposed the convolutional neural …
Simulating daily PM2. 5 concentrations using wavelet analysis and artificial neural network with remote sensing and surface observation data
Q Guo, Z He, Z Wang - Chemosphere, 2023 - Elsevier
Accurate PM 2.5 concentrations predicting is critical for public health and wellness as well
as pollution control. However, traditional methods are difficult to accurately predict PM 2.5 …
as pollution control. However, traditional methods are difficult to accurately predict PM 2.5 …
Short-term power load forecasting system based on rough set, information granule and multi-objective optimization
J Wang, K Wang, Z Li, H Lu, H Jiang - Applied Soft Computing, 2023 - Elsevier
Accurately forecasting power load is essential for utilities to effectively manage their
resources, reduce operational costs, and provide improved customer service. However, the …
resources, reduce operational costs, and provide improved customer service. However, the …
Forecasting of fine particulate matter based on LSTM and optimization algorithm
Accurate air pollution forecasting may provide valuable information for urban planning to
maintain environmental sustainability and reduce mortality risk due to health problems. The …
maintain environmental sustainability and reduce mortality risk due to health problems. The …
A novel machine learning-based artificial intelligence method for predicting the air pollution index PM2. 5
L Zhao, Z Li, L Qu - Journal of Cleaner Production, 2024 - Elsevier
Accurate prediction of the Particulate Matter 2.5 (PM 2.5) plays a crucial role in the accurate
management of air pollution and prevention of respiratory diseases. However, PM 2.5 as a …
management of air pollution and prevention of respiratory diseases. However, PM 2.5 as a …
A novel hybrid model for hourly PM2. 5 prediction considering air pollution factors, meteorological parameters and GNSS-ZTD
F Wu, P Min, Y Jin, K Zhang, H Liu, J Zhao… - Environmental Modelling & …, 2023 - Elsevier
With the rapid development of the economy, PM2. 5 severely harms human health and
social development. In this paper, a novel hybrid hourly PM2. 5 prediction model, named …
social development. In this paper, a novel hybrid hourly PM2. 5 prediction model, named …
Forecasting of Beijing PM2. 5 with a hybrid ARIMA model based on integrated AIC and improved GS fixed-order methods and seasonal decomposition
L Zhao, Z Li, L Qu - Heliyon, 2022 - cell.com
Abstract Accurate particulate matter 2.5 (PM 2.5) prediction plays a crucial role in the
accurate management of air pollution and prevention of respiratory diseases. However, PM …
accurate management of air pollution and prevention of respiratory diseases. However, PM …
Short-term air quality prediction using point and interval deep learning systems coupled with multi-factor decomposition and data-driven tree compression
J Che, K Hu, W Xia, Y Xu, Y Li - Applied Soft Computing, 2024 - Elsevier
Clean air, as a symbol of high-quality air quality, is the most basic requirement for people to
maintain health. Moreover, in keeping humans fit, accurate short-term air quality prediction is …
maintain health. Moreover, in keeping humans fit, accurate short-term air quality prediction is …
Application of the novel four-parameter discrete optimized grey model to forecast the wastewater discharged in Chongqing China
X Gou, B Zeng, Y Gong - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
The scientific and reasonable prediction of wastewater discharge is of great significance for
regional water environment management and water resources protection. To this end, a new …
regional water environment management and water resources protection. To this end, a new …