Prediction of Carbon Emission of the Transportation Sector in Jiangsu Province-Regression Prediction Model Based on GA-SVM
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- Zhang, Chuanguo & Nian, Jiang, 2013. "Panel estimation for transport sector CO2 emissions and its affecting factors: A regional analysis in China," Energy Policy, Elsevier, vol. 63(C), pages 918-926.
- Pao, Hsiao-Tien & Tsai, Chung-Ming, 2011. "Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil," Energy, Elsevier, vol. 36(5), pages 2450-2458.
- Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
- Xuejun Qian & Seong Lee & Ana-maria Soto & Guangming Chen, 2018. "Regression Model to Predict the Higher Heating Value of Poultry Waste from Proximate Analysis," Resources, MDPI, vol. 7(3), pages 1-14, June.
- Hong, Taehoon & Jeong, Kwangbok & Koo, Choongwan, 2018. "An optimized gene expression programming model for forecasting the national CO2 emissions in 2030 using the metaheuristic algorithms," Applied Energy, Elsevier, vol. 228(C), pages 808-820.
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- Wenjie Li & Chun Luo & Yiwei He & Yu Wan & Hongbo Du, 2023. "Estimating Inter-Regional Freight Demand in China Based on the Input–Output Model," Sustainability, MDPI, vol. 15(12), pages 1-16, June.
- Maksymilian Mądziel, 2024. "Modeling Exhaust Emissions in Older Vehicles in the Era of New Technologies," Energies, MDPI, vol. 17(19), pages 1-18, October.
- Wu Bo & Kunming Zhao & Gang Cheng & Yaping Wang & Jiazhe Zhang & Mingkai Cheng & Can Yang & Wa Da, 2024. "Study on Transportation Carbon Emissions in Tibet: Measurement, Prediction Model Development, and Analysis," Sustainability, MDPI, vol. 16(19), pages 1-26, September.
- Yuhao Yang & Ruixi Dong & Xiaoyan Ren & Mengze Fu, 2024. "Exploring Sustainable Planning Strategies for Carbon Emission Reduction in Beijing’s Transportation Sector: A Multi-Scenario Carbon Peak Analysis Using the Extended STIRPAT Model," Sustainability, MDPI, vol. 16(11), pages 1-23, May.
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Keywords
carbon peak; carbon emissions; genetic algorithm; support vector machine; regression prediction model;All these keywords.
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