Underestimated impact of the COVID-19 on carbon emission reduction in developing countries – A novel assessment based on scenario analysis
出版年份 2021 全文链接
标题
Underestimated impact of the COVID-19 on carbon emission reduction in developing countries – A novel assessment based on scenario analysis
作者
关键词
COVID-19, Carbon emissions, Pandemic-free scene, Artificial intelligence, Developed and developing economies
出版物
ENVIRONMENTAL RESEARCH
Volume 204, Issue -, Pages 111990
出版商
Elsevier BV
发表日期
2021-09-02
DOI
10.1016/j.envres.2021.111990
参考文献
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- (2021) Qiang Wang et al. JOURNAL OF CLEANER PRODUCTION
- Estimating the European CO2 emissions change due to COVID-19 restrictions
- (2021) Valeria Andreoni SCIENCE OF THE TOTAL ENVIRONMENT
- Uncovering the impact of the COVID-19 pandemic on energy consumption: New insight from difference between pandemic-free scenario and actual electricity consumption in China
- (2021) Qiang Wang et al. Journal of Cleaner Production
- Temporary reduction in daily global CO2 emissions during the COVID-19 forced confinement
- (2020) Corinne Le Quéré et al. Nature Climate Change
- Assessing the recent impact of COVID-19 on carbon emissions from China using domestic economic data
- (2020) Pengfei Han et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Effect of restricted emissions during COVID-19 on air quality in India
- (2020) Shubham Sharma et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Impact of COVID-19 outbreak measures of lockdown on the Italian Carbon Footprint
- (2020) Benedetto Rugani et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic
- (2020) Zhu Liu et al. Nature Communications
- Preventing carbon emission retaliatory rebound post-COVID-19 requires expanding free trade and improving energy efficiency
- (2020) Qiang Wang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- The carbon footprint of a UK University during the COVID-19 lockdown
- (2020) Viachaslau Filimonau et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Time-aware cloud service recommendation using similarity-enhanced collaborative filtering and ARIMA model
- (2018) Shuai Ding et al. DECISION SUPPORT SYSTEMS
- Rule-based autoregressive moving average models for forecasting load on special days: A case study for France
- (2018) Siddharth Arora et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A link prediction method for heterogeneous networks based on BP neural network
- (2018) Ji-chao Li et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Modeling energy-related CO 2 emissions from office buildings using general regression neural network
- (2018) Hong Ye et al. RESOURCES CONSERVATION AND RECYCLING
- Distributed formation control of nonholonomic autonomous vehicle via RBF neural network
- (2017) Shichun Yang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A review on time series forecasting techniques for building energy consumption
- (2017) Chirag Deb et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A Precise Positioning Method for a Puncture Robot Based on a PSO-Optimized BP Neural Network Algorithm
- (2017) Guanwu Jiang et al. Applied Sciences-Basel
- Application of artificial neural network for the prediction of stock market returns: The case of the Japanese stock market
- (2016) Mingyue Qiu et al. CHAOS SOLITONS & FRACTALS
- Application of ARIMA for forecasting energy consumption and GHG emission: A case study of an Indian pig iron manufacturing organization
- (2016) Parag Sen et al. ENERGY
- Forecasting energy consumption using ensemble ARIMA–ANFIS hybrid algorithm
- (2016) Sasan Barak et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- To select or to combine? The inventory performance of model and expert forecasts
- (2016) Xun Wang et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Prediction of nitrogen oxides emissions at the national level based on optimized artificial neural network model
- (2016) Lidija J. Stamenković et al. Air Quality Atmosphere and Health
- Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines
- (2015) Fazil Kaytez et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings
- (2015) Muhammad Qamar Raza et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network
- (2014) Feng Yu et al. APPLIED ENERGY
- Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting
- (2013) Chao Ren et al. KNOWLEDGE-BASED SYSTEMS
- A case study on a hybrid wind speed forecasting method using BP neural network
- (2011) Zhen-hai Guo et al. KNOWLEDGE-BASED SYSTEMS
- A simulated-based neural network algorithm for forecasting electrical energy consumption in Iran
- (2008) A. Azadeh et al. ENERGY POLICY
- Stitching defect detection and classification using wavelet transform and BP neural network
- (2008) W.K. Wong et al. EXPERT SYSTEMS WITH APPLICATIONS
- BP neural network with rough set for short term load forecasting
- (2007) Zhi Xiao et al. EXPERT SYSTEMS WITH APPLICATIONS
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