[
BAHRAMI, S. – NOURINEJAD, M. – AMIRJAMSHIDI, G. – ROORDA, M. J. 2020. The plugin hybrid electric vehicle routing problem: A power-management strategy model. In Transportation Research Part C: Emerging Technologies, vol. 111, pp. 318–333. DOI: https://doi.org/10.1016/j.trc.2019.12.006
]Search in Google Scholar
[
BRAUNGARDT, S. – VAN DEN BERGH, J. – DUNLOP, T. 2019. Fossil fuel divestment and climate change: Reviewing contested arguments. In Energy Research ---amp--- Social Science, vol. 50, pp. 191–200. DOI: https://doi.org/10.1016/j.erss.2018.12.004
]Search in Google Scholar
[
KARMAKER, A. K. – RAHMAN, M. – HOSSAIN, A. – AHMED, R. 2020. Exploration and corrective measures of greenhouse gas emission from fossil fuel power stations for Bangladesh. In Journal of Cleaner Production, vol. 244, article no. 118645. DOI: https://doi.org/10.1016/j.jclepro.2019.118645
]Search in Google Scholar
[
FAIZOLLAHZADEH ARDABILI, S. – NAJAFI, B. – ALIZAMIR, M. – MOSAVI, A. – SHAMSHIRBAND, S. – RABCZUK, T. 2018. Using SVM-RSM and ELM-RSM approaches for optimizing the production process of methyl and ethyl esters. In Energies, vol. 11, no. 11, article no. 2889. DOI: https://doi.org/10.3390/en11112889
]Search in Google Scholar
[
GUZZELLA, L. – SCIARRETTA, A. 2013. Vehicle Energy and Fuel Consumption – Basic Concepts. In Vehicle Propulsion Systems, pp. 13–46. DOI: https://doi.org/10.1007/978-3-642-35913-2_2
]Search in Google Scholar
[
HAGHIGHAT SHOAR, F. – NAJAFI, B. – MOSAVI, A., 2021. Effects of triethylene glycol mono methyl ether (TGME) as a novel oxygenated additive on emission and performance of a dual-fuel diesel engine fueled with natural gas-diesel/biodiesel. In Energy Reports, vol. 7, pp. 1172–1189. DOI: https://doi.org/10.1016/j.egyr.2021.01.088
]Search in Google Scholar
[
HU, X. – ZUO, Y. – YANG, Y. 2016. Greener plug-in hybrid electric vehicles incorporating renewable energy and rapid system optimization. In Energy, vol. 111, pp. 971–980. DOI: https://doi.org/10.1016/j.energy.2016.06.037
]Search in Google Scholar
[
JOLLIET, O. – MARGNI, M. – CHARLES, R. – HUMBERT, S. – PAYET, J. – REBITZER, G. – ROSENBAUM, R. 2003. IMPACT 2002+: a new life cycle impact assessment methodology. In The International Journal of Life Cycle Assessment, vol. 8, pp. 324–330. DOI: https://doi.org/10.1007/BF02978505
]Search in Google Scholar
[
KLINGLMAIR, M. – SALA, S. – BRANDÃO, M. 2014. Assessing resource depletion in LCA: a review of methods and methodological issues. In The International Journal of Life Cycle Assessment, vol. 19, pp. 580–592. DOI: https://doi.org/10.1007/s11367-013-0650-9
]Search in Google Scholar
[
NAJAFI, B. 2011. Artificial neural networks used for the prediction of the diesel engine performance and pollution of waste cooking oil biodiesel. In Modares Mechanical Engineering, 2011. vol. 11, no. 4, pp. 11–20.
]Search in Google Scholar
[
SHAHID, S. M. – KO, S. – KWON, S. 2019a. Real-time classification of diesel marine engine loads using machine learning. In Sensors, vol. 19, no. 14, pp. 3172–3178. DOI: https://doi.org/10.3390/s19143172
]Search in Google Scholar
[
SHAHID, S. M. – JO, B. D. – KO, S. – KWON, S. 2019b. Neural network-based classification for engine load. In 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) IEEE, pp. 568–571. DOI: https://doi.org/10.1109/ICAIIC.2019.8669078
]Search in Google Scholar
[
XUE, Q. – ZHANG, X. – TENG, T. – ZHANG, J. – FENG, Z. – LV, Q. A 2020. A comprehensive review on classification, energy management strategy, and control algorithm for hybrid electric vehicles. In Energies, vol. 13, no. 20, article no. 5355. DOI: https://doi.org/10.3390/en13205355
]Search in Google Scholar