Issue
Sci. Tech. Energ. Transition
Volume 80, 2025
Decarbonizing Energy Systems: Smart Grid and Renewable Technologies
Article Number 12
Number of page(s) 11
DOI https://doi.org/10.2516/stet/2024102
Published online 20 January 2025
  • Cansiz Ö.F., Üneş F., Erginer İ., Taşar B. (2022) Modeling of highways energy consumption with artificial intelligence and regression methods, Int. J. Environ. Sci. Technol. 19, 9741–9756. [CrossRef] [Google Scholar]
  • Díaz S., Carta J.A., Matías J.M. (2017) Comparison of several measure-correlate-predict models using support vector regression techniques to estimate wind power densities. A case study, Energy Conv.Manag. 140, 334–354. [CrossRef] [Google Scholar]
  • Guo Q., Liang H., Liao H., Zhang L., Ni D. (2022) Statistical analysis and Research on energy consumption in highway service area, in: 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP), Xi’an, China, 15–17 April, IEEE, pp. 210–214. [Google Scholar]
  • Jia S., Mao B., Liu S., Sun Q. (2010) Calculation and analysis of transportation energy consumption level in China, J. Transp. Syst. Eng. Inf. Technol. 10, 22–27. [Google Scholar]
  • Li D.Q. (2016) Research on the energy consumption analytical method of expressway in operation period, South China University of Technology, Guangzhou. [Google Scholar]
  • Li L.B. (2013) Research on the energy consumption calculation method of expressway in construction period, South China University of Technology, Guangzhou. [Google Scholar]
  • Liang M. (2020) Environmental impact and life cycle cost analysis of new energy vehicles and traditional fuel vehicles, China University of Petroleum, Beijing. [Google Scholar]
  • Liang Y., Liu Y., Yu H., Li J., Ma K., An X. (2023) Analysis of factors influencing energy consumption in electric passenger vehicles based on real driving data, in: 2023 7th International Conference on Power and Energy Engineering (ICPEE), Chengdu, China, 22–24 December , IEEE, pp. 235–238. [Google Scholar]
  • Lu H.T. (2011) Statistical model of highway life-cycle energy consumption, Changsha University of Science and Technology, Changsha. [Google Scholar]
  • Lv T., Gao S., Hong W., Huang S., Liu X., Zhao H. (2018) Application of LCA in expressway energy consumption analysis in South China, IOP Conf. Ser. Earth Environ. Sci. 199, 032038. [CrossRef] [Google Scholar]
  • Mao J., Zhu Y., Chen Q., Yu H. (2023) Energy consumption and carbon emission analysis of typical regeneration methods for asphalt pavements, Buildings 13, 6, 1569. [CrossRef] [Google Scholar]
  • Pan M.P. (2011) The methodology research and application on energy consumption and carbon emissions of highway based on the life cycle assessment, South China University of Technology, Guangzhou. [Google Scholar]
  • Qi Z., Zheng T., Liu N., Zhong H. (2020) Study on energy consumption index system and calculation method of highway transportation infrastructure in Qinghai Province, IOP Conf. Ser. Earth Environ. Sci. 440, 032003. [CrossRef] [Google Scholar]
  • Shen Y.Q. (2017) Evaluation model and method for energy consumption and emissions of freeway reconstructed project, Hefei University of Technology, Hefei. [Google Scholar]
  • Shi-Yong Z., Xian R., Li-Chao J., Jun-lin H. (2021) Analysis of energy consumption level and influencing factors of highway service area, IOP Conf. Ser.: Earth Environ. Sci. 825, 012005. [CrossRef] [Google Scholar]
  • Song M., Wu N., Wu K. (2014) Energy consumption and energy efficiency of the transportation sector in Shanghai, Sustainability 6, 702–717. [CrossRef] [Google Scholar]
  • Tang K. (2013) Energy consumption analysis and calculation method study of expressway operation period, Chang’an University, Xi’an. [Google Scholar]
  • Zhang L., Liu L., Wang M., Wang Y., Zhou Y. (2019) Forecast and analysis of road transportation energy demand under the background of system dynamics, IOP Conf. Ser.: Earth Environ. Sci. 252, 052043. [CrossRef] [Google Scholar]
  • Zou B.J. (2015) Research on the energy consumption calculation model of expressway in construction period, South China University of Technology, Guangzhou. [Google Scholar]
  • Zou Q., Cheng D.Q. (2019) Statistics of energy consumption in the period of Suzhou West segment of G312 highway construction, Shanghai Highways 4, 95–98. [Google Scholar]

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