[
Bansal, P., Kumar, R.R., Raj, A., Dubey, S., Graham, D.J. (2021) Willingness to pay and attitudinal preferences of Indian consumers for electric vehicles. Energy Economics, 100, 105340. DOI: 10.1016/J.ENECO.2021.105340.10.1016/j.eneco.2021.105340
]Search in Google Scholar
[
Björnsson, L.H., Karlsson, S. (2017). Electrification of the two-car household: PHEV or BEV? Transportation Research Part C Emerging Technologies, 85, 363–376. DOI: 10.1016/j. trc.2017.09.021.10.1016/j.trc.2017.09.021
]Search in Google Scholar
[
Chai, J, Lu, Q.Y., Wang, S.Y. (2016). Analysis of road transportation energy consumption demand in China. Transport Research Part D, Transport and Environment, 48, 112–124. DOI: 10.1016/j.trd.2016.08.009.10.1016/j.trd.2016.08.009
]Search in Google Scholar
[
Dong, Y. (2022). Analysis of Consumers’ Willingness to Accept of Government Subsidies for Electric Vehicles. Transportation Research Procedia, 61, 90-97. DOI: 10.1016/j. trpro.2022.01.016.10.1016/j.trpro.2022.01.016
]Search in Google Scholar
[
European Commission (2019). National energy and climate action plan of the Republic of Lithuania for 2021–2030.
]Search in Google Scholar
[
European Commission (2019). The European Green Deal, Communication from the Commission, COM (2019) 640 final.
]Search in Google Scholar
[
Fu, S., Fu, H. (2021). A method to predict electric vehicles’ market penetration as well as its impact on energy saving and CO2 mitigation. Science Progress, 104 (3). DOI: 10.1177/00368504211040286.10.1177/00368504211040286
]Search in Google Scholar
[
Gerossier, A., Girard, R., Kariniotakis, G.N. (2019). Modeling and Forecasting Electric Vehicle Consumption Profiles. Energies, 12 (7), 1341. DOI: 10.3390/en12071341.10.3390/en12071341
]Search in Google Scholar
[
Glerum, A., Stankovikj, L., Themans, M., Bierlaire, M. (2013). Forecasting the Demand for Electric Vehicles: Accounting for Attitudes and Perceptions. Transportation Science, 48 (4), 483–499. DOI: 10.1287/trsc.2013.0487.10.1287/trsc.2013.0487
]Search in Google Scholar
[
Gough, R., Dickerson, C., Rowley, P., Walsh, C. (2017). Vehicle-to-grid feasibility: A technoeconomic analysis of EV-based energy storage. Applied Energy, 192 (C), 12–23. DOI: /10.1016/j.apenergy.2017.01.102.10.1016/j.apenergy.2017.01.102
]Search in Google Scholar
[
Haas, T., Sander, H. (2020) Decarbonizing Transport in the European Union: Emission Performance Standards and the Perspectives for a European Green Deal. Sustainability, 12 (20), 8381. DOI: 10.3390/su12208381.10.3390/su12208381
]Search in Google Scholar
[
Haben, S., Ward, J., Greetham, D.V., Singleton, C.; Grindrod, P. (2014). A new error measure for forecasts of household-level, high resolution electrical energy consumption. International Journal Forecasting, 30 (2), 246–256. DOI: 10.1016/j.ijforecast.2013.08.002.10.1016/j.ijforecast.2013.08.002
]Search in Google Scholar
[
Hagman, J., Ritzen, S., Janhager, J., Susilo, Y.O. (2016). Total cost of ownership and its potential implications for battery electric vehicle diffusion. Research in Transportation Business and Management, 18, 11–17. DOI: 10.1016/j.rtbm.2016.01.003.10.1016/j.rtbm.2016.01.003
]Search in Google Scholar
[
Hong, Tao, Pinson, P., Fan, S. Zareipour, H., Troccoli, A., Hyndman, R.J. (2016). Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond. International Journal of Forecasting, 32 (3), 896–913. DOI: 10.1016/j.ijforecast.2016.02.001.10.1016/j.ijforecast.2016.02.001
]Search in Google Scholar
[
Huang, X., Ge, J. (2019) Electric vehicle development in Beijing: An analysis of consumer purchase intention. Journal of Cleaner Production, 216, 361–372. DOI: 10.1016/J.JCLEPRO.2019.01.231.10.1016/j.jclepro.2019.01.231
]Search in Google Scholar
[
Jaržemskis, A., Speičytė, E., Padvilikis, G. (2012) Research into User Behaviour to Evaluate Demand for Technical Parameters of Electric Vehicles, Proceedings of 16 International Conference Transporto means (pp. 346–349).
]Search in Google Scholar
[
Jing, Y., Zhang, Z., Shi, H., Wang, J., Xu, R., Li, M. (2021). The present and future of electric vehicles: Market analysis and forecast of different types of electric vehicles. International Conference on Artificial Intelligence and Electromechanical Automation (AIEA). DOI: 10.1109/AIEA53260.2021.00042.10.1109/AIEA53260.2021.00042
]Search in Google Scholar
[
Jochem. P, Doll. C., Fichtner. W. (2016). External costs of electric vehicles. Transport Research Part D, Transport and Environment, 42, 60–76. DOI: 10.1016/J.TRD.2015.09.022.10.1016/j.trd.2015.09.022
]Search in Google Scholar
[
Karlsson, S. (2017). What are the value and implications of two-car households for the electric car? Transportation Research Part C Emerging Technologies, 81, 1–17. DOI: 10.1016/j.trc.2017.05.001.10.1016/j.trc.2017.05.001
]Search in Google Scholar
[
Kim, J., Yu, Ch. J., Khammuang, M., Liu, J. Almujahid, A. (2017). Forecasting Battery Electric Vehicles, IEEE Technology & Engineering Management Conference (TEMSCON). DOI: 10.1109/TEMSCON.2017.7998377.10.1109/TEMSCON.2017.7998377
]Search in Google Scholar
[
Kim, J.H., Kim, H.J., Yoo, S.H. (2019) Willingness to pay for fuel-cell electric vehicles in South Korea. Energy, 174, 497–502. DOI: 10.1016/j.energy.2019.02.185.10.1016/j.energy.2019.02.185
]Search in Google Scholar
[
Koralova-Nozharova, P. (2021) European Green Deal and transport sector development – opportunities or restrictions. SHS Web of Conferences. Les Ulis, 120.10.1051/shsconf/202112004004
]Search in Google Scholar
[
Kougias, I., Taylor, N. Kakoulaki, G. Jäger-Waldau, A. (2021) The role of photovoltaics for the European Green Deal and the recovery plan. Renewable and Sustainable Energy Reviews, 144 (7), 111017. DOI: 10.1016/j.rser.2021.111017.10.1016/j.rser.2021.111017
]Search in Google Scholar
[
Lin, C. (2013). Life-cycle private costs of hybrid electric vehicles in the current Chinese market. Energy Policy, 55, 501–510. DOI: 10.1016/j.jclepro.2006.05.026.10.1016/j.jclepro.2006.05.026
]Search in Google Scholar
[
Ma, S.C., Xu, J.H., Fan, Y. (2019) Willingness to pay and preferences for alternative incentives to EV purchase subsidies: An empirical study in China. Energy Economics, 81, 197–215. DOI: 10.1016/j.eneco.2019.03.012.10.1016/j.eneco.2019.03.012
]Search in Google Scholar
[
Manjunath, A., Gross G. (2017). Towards meaningful metric for the quantification of GHG emissions of electric vehicles. Energy Policy, 102, 423–429. DOI: 10.1016/j.enpol.2016.12.003.10.1016/j.enpol.2016.12.003
]Search in Google Scholar
[
Moon, H., Park, S.Y., Lee, J. (2018). Forecasting electricity demand of electric vehicles by analyzing consumers’ charging patterns. Transportation Research Part D Transport and Environment, 62, 64–79. DOI: 10.1016/j.trd.2018.02.009.10.1016/j.trd.2018.02.009
]Search in Google Scholar
[
Musti, S., Kockelman, K.M. (2011). Evolution of the household vehicle fleet: Anticipating fleet composition, PHEV adoption and GHG emissions in Austin, Texas. Transport Research Part A: Policy Practices, 45 (8), 707–720. DOI: 10.1016/j.tra.2011.04.011.10.1016/j.tra.2011.04.011
]Search in Google Scholar
[
Mwasilu, F., Justo, J.J., Kim, E.K., Do, T.D., Jung, J.W. (2014). Electric vehicles and smart grid interaction: A review on vehicle to grid and renewable energy sources integration. Renew. Sustainable. Energy Review, 34, 501–516. DOI: 10.1016/j.rser.2014.03.031.10.1016/j.rser.2014.03.031
]Search in Google Scholar
[
Noel, L., Papu Carrone, A., Jensen, A.F., Zarazua de Rubens, G., Kester, J., Sovacool, B.K. (2019) Willingness to pay for electric vehicles and vehicle-to-grid applications: A Nordic choice experiment. Energy Economics, 78, 525–534. DOI: 10.1016/j.eneco.2018.12.014.10.1016/j.eneco.2018.12.014
]Search in Google Scholar
[
Pasaoglu, G., Honselaar, M., Thiel, C. (2012). Potential vehicle fleet CO2 reductions and cost implications for various vehicle technology deployment scenarios in Europe. Energy Policy, 40, 404–421. DOI: 10.1016/j.enpol.2011.10.025.10.1016/j.enpol.2011.10.025
]Search in Google Scholar
[
Peng, Z., Yu, Z., Wang, H., Yang, S. (2014). Research on industrialization of electric vehicles with its demand forecast using exponential smoothing method. Journal of Industrial Engineering and Management, 8 (2), 365–382. DOI: 10.3926/jiem.1287.10.3926/jiem.1287
]Search in Google Scholar
[
Song, Y., Li, G., Wang, Q., Meng, X., Wang H. (2020) Scenario analysis on subsidy policies for the uptake of electric vehicles industry in China. Resources, Conservation and Recycling, 161. DOI: 10.1016/J.RESCONREC.2020.104927.10.1016/j.resconrec.2020.104927
]Search in Google Scholar
[
Tamor, M.A., Gearhart, C., Soto, C. (2013). A statistical approach to estimating acceptance of electric vehicles and electrification of personal transportation. Transportation Research Part C, Emerging Technologies, 26, 125–134. DOI: 10.1016/j.trc.2012.07.007.10.1016/j.trc.2012.07.007
]Search in Google Scholar
[
Wikstrom, M., Hansson, L., Alvfors, P. (2016). Investigating barriers for plug-in electric vehicle development in fleets. Transport Research Part D, Transport and Environment, 49, 59–67. DOI: 10.1016/j.trd.2016.08.008.10.1016/j.trd.2016.08.008
]Search in Google Scholar
[
Wolf, S., Korzynietz, R. (2019). Innovation Needs for the Integration of Electric Vehicles into the Energy System. World Electric Vehicle Journal, 10 (4), 76. DOI: 10.3390/wevj10040076.10.3390/wevj10040076
]Search in Google Scholar
[
Wu, G., Inderbitzin, A., Bening, C. (2015). Total cost of ownership of electric vehicles compared to conventional vehicles: A probabilistic analysis and projection across market segments. Energy Policy, 80, 196–214. DOI: 10.1016/j.enpol.2015.02.004.10.1016/j.enpol.2015.02.004
]Search in Google Scholar
[
Wu, Y.A., Ng, A.W., Yu, Z., Huang, J., Meng, K., Dong, Z.Y. (2021) A review of evolutionary policy incentives for sustainable development of electric vehicles in China: Strategic implications. Energy Policy, 148. DOI: 10.1016/J.ENPOL.2020.111983.10.1016/j.enpol.2020.111983
]Search in Google Scholar
[
Zhang, Q, Ou, X.M, Yan, X.Y. (2017). Electric vehicle market penetration and impacts on energy consumption and CO2 emission in the future: Beijing case. Energies, 10 (2), 1–15. DOI: 10.3390/en10020228.10.3390/en10020228
]Search in Google Scholar