A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions

Renewable Energy, Journal Year: 2020, Volume and Issue: 167, P. 99 - 115

Published: Nov. 20, 2020

Language: Английский

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The relationship between air pollution and COVID-19-related deaths: An application to three French cities

Applied Energy, Journal Year: 2020, Volume and Issue: 279, P. 115835 - 115835

Published: Sept. 12, 2020

Language: Английский

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Applications of artificial intelligence in battling against covid-19: A literature review

Chaos Solitons & Fractals, Journal Year: 2020, Volume and Issue: 142, P. 110338 - 110338

Published: Oct. 3, 2020

Language: Английский

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The Effects of Air Pollution on COVID-19 Infection and Mortality—A Review on Recent Evidence

Frontiers in Public Health, Journal Year: 2020, Volume and Issue: 8

Published: Nov. 26, 2020

The outbreak of COVID-19 has created a serious public health concern worldwide. Although, most the regions around globe have been affected by infections; some are more badly in terms infections and fatality rates than others. exact reasons for such variations not clear yet. This review discussed possible effects air pollution on mortality based recent evidence. findings studies reviewed here demonstrate that both short-term long-term exposure to especially PM 2.5 nitrogen dioxide (NO 2 ) may contribute significantly higher mortalities with lesser extent also 10 . A significant correlation found between countries world. available data indicate influence transmission. Moreover, increase vulnerability harmful prognosis patients infections. Further research should be conducted considering potential confounders as age pre-existing medical conditions along NO , other pollutants confirm their detrimental from COVID-19.

Language: Английский

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The effect of energy resources on economic growth and carbon emissions: A way forward to carbon neutrality in an emerging economy

Journal of Environmental Management, Journal Year: 2021, Volume and Issue: 298, P. 113448 - 113448

Published: Aug. 4, 2021

Language: Английский

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Impact of the COVID-19 pandemic on air pollution in Chinese megacities from the perspective of traffic volume and meteorological factors

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 773, P. 145545 - 145545

Published: Feb. 4, 2021

Language: Английский

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Machine learning-based time series models for effective CO2 emission prediction in India

Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 30(55), P. 116601 - 116616

Published: July 2, 2022

Language: Английский

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Artificial Intelligence Technologies for Forecasting Air Pollution and Human Health: A Narrative Review

Sustainability, Journal Year: 2022, Volume and Issue: 14(16), P. 9951 - 9951

Published: Aug. 11, 2022

Air pollution is a major issue all over the world because of its impacts on environment and human beings. The present review discussed sources pollutants environmental health current research status forecasting techniques in detail; this study presents detailed discussion Artificial Intelligence methodologies Machine learning (ML) algorithms used early-warning systems; moreover, work emphasizes more (particularly Hybrid models) for various (e.g., PM2.5, PM10, O3, CO, SO2, NO2, CO2) focus given to AI ML predicting chronic airway diseases prediction climate changes heat waves. hybrid model has better performance than single models it greater accuracy warning systems. evaluation error indexes like R2, RMSE, MAE MAPE were highlighted based models.

Language: Английский

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The Relationship between Renewable Energy and Economic Growth in a Time of Covid-19: A Machine Learning Experiment on the Brazilian Economy

Sustainability, Journal Year: 2021, Volume and Issue: 13(3), P. 1285 - 1285

Published: Jan. 26, 2021

This paper examines the relationship between renewable energy consumption and economic growth in Brazil, Covid-19 pandemic. Using an Artificial Neural Networks (ANNs) experiment Machine Learning, we tried to verify if a more intensive use of could generate positive GDP acceleration Brazil. offset harmful effects global Empirical findings show that ever-greater energies may sustain process. In fact, through model ANNs, highlighted how increasing triggers compared other variables considered model.

Language: Английский

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The nexus between COVID-19 deaths, air pollution and economic growth in New York state: Evidence from Deep Machine Learning

Journal of Environmental Management, Journal Year: 2021, Volume and Issue: 286, P. 112241 - 112241

Published: March 2, 2021

The aim of this paper is to assess the relationship between COVID-19-related deaths, economic growth, PM10, PM2.5, and NO2 concentrations in New York state using city-level daily data through two Machine Learning experiments. PM2.5 are most significant pollutant agents responsible for facilitating COVID-19 attributed death rates. Besides, we found only six out many tested causal inferences be true within AUPRC analysis. In line with findings, a unidirectional effect from Deaths, growth both NO2. Corroborating first experiment, results confirmed capability polluting variables (PM2.5 Deaths) accelerate deaths. contrast, evidence that unsustainable predicts dynamics air pollutants. This shows how could increase environmental pollution by escalating emissions NO2) state.

Language: Английский

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