, OECD: Reducing transport greenhouse emissions: Trends & Data. Organization for Economic Co-operation and Development, 2010.

B. W. Lane, J. Dumortier, S. Carley, S. Siddiki, K. Clark-sutton et al., All plugin electric vehicles are not the same: Predictors of preference for a plug-in hybrid versus a battery electric vehicle, Transp. Res. Part D Transp. Environ, vol.65, pp.1-13, 2018.

S. Bakker and J. J. Trip, Policy options to support the adoption of electric vehicles in the urban environment, Transp. Res. Part D, vol.25, pp.18-23, 2013.

E. S. Rigas, S. D. Ramchurn, and N. Bassilades, Managing electric vehicles in the smart grid using artificial intelligence: a survey, IEEE Trans. Intell. Transport Syst, vol.16, issue.4, pp.1619-1635, 2015.

W. Kempton, J. Tomic, S. Letendre, A. Brooks, and T. Lipman, Vehicle-to-grid power: battery, hybrid, and fuel cell vehicles as resources for distributed electric power in California, 2001.

S. Vandael, B. Claessens, M. Hommelberg, T. Holvoet, and G. Deconinck, A scalable threestep approach for demand side management of plug-in hybrid vehicles, IEEE Trans. Smart Grid, vol.4, issue.2, pp.720-728, 2013.

M. G. Vaya, L. Baringo, T. Krause, G. Andersson, P. Almeida et al., EV aggregation models for different charging scenarios, Proc. Int. Conf. on Elec. Distri, 2015.

P. Jain, A. Das, and T. Jain, Aggregated electric vehicle resource modelling for regulation services commitment in power grid, Sustainable Cities and Society, vol.45, pp.439-450, 2019.

E. Sortomme and M. A. El-sharkawi, Optimal charging strategies for unidirectional vehicle-togrid, IEEE Trans. Smart Grid, vol.2, issue.10, pp.131-138, 2011.

L. Baringo and R. S. Amaro, A stochastic robust optimization approach for the bidding strategy of an electric vehicle aggregator. Electric Power Systems research 146, pp.362-370, 2017.

J. Donadee and M. D. Ilic, Stochastic optimization of grid to vehicle frequency regulation capacity bids, IEEE Trans. Smart Grid, vol.5, issue.2, pp.1061-1069, 2014.

S. I. Vagropoulos and A. G. Bakirtzis, Optimal bidding strategy for electric vehicle aggregators in electricity markets, IEEE Trans. Power Syst, vol.28, issue.4, 2013.

Z. Xu, Z. Hu, Y. Song, and J. Wang, Risk-averse optimal bidding strategy for demand-side resource aggregators in day-ahead electricity markets under uncertainty, IEEE Trans. Smart Grid, vol.8, issue.1, pp.96-105, 2017.

H. Wu, M. Shahidehpour, A. Alabdulwahab, and A. Abusorrach, A game theoric approach to risk-based optimal bidding strategies for electric vehicle aggregators in electricity markets with variable wind energy resources, IEEE Trans. Sustain. Energy, vol.7, issue.1, pp.374-385, 2016.

W. Wei, F. Liu, and S. Mei, Charging strategies of EV aggregator under renewable energy generation and congestion: A normalized nash equilibrium approach, IEEE Trans. Smart Grid, vol.7, issue.3, pp.1630-1641, 2016.

A. Manijeh, B. Mohammadi, M. Moradi, and K. Zare, Stochastic scheduling of aggregators of plug-in electric vehicles for participation in energy and ancillary service markets, Energy, vol.118, pp.1168-1179, 2017.

N. C. Batista, R. Melicio, and V. M. Mendes, Services enabler architecture for smart grid and smart living services providers under industry 4, 0. Energy and Buildings, vol.141, pp.16-27, 2017.

N. C. Batista, R. Melicio, J. C. Matias, and J. P. Catalão, Zigbee standard in the creation of wireless networks for advanced metering infrastructures, Proc. 16th IEEE Melecon, 2012.

N. C. Batista, R. Melicio, J. C. Matias, and J. P. Catalão, ZigBee wireless area network for home automation and energy management: field trials and installation approaches, Proc. 3rd IEEE ISGT Europe, pp.1-5, 2012.

N. C. Batista, R. Melicio, J. C. Matias, and J. P. Catalão, Photovoltaic and wind energy systems monitoring and building energy management using ZigBee devices within a smart grid, Energy, vol.49, issue.1, pp.306-315, 2013.

N. C. Batista, R. Melicio, and V. M. Mendes, Layered smart grid architecture approach and field tests by ZigBee technology, Energy Conversion and Management, vol.88, pp.49-59, 2014.

A. Ensslen, T. Gnann, P. Jochem, P. Plotz, E. Dustchke et al., Can product service systems support electric vehicle adoption?, Transportation Research Part A, 2018.

N. Shaukat, A survey on electric vehicle transportation within smart grid system, Renewable and Sustainable Energy Reviews, vol.81, pp.1329-1349, 2018.

I. L. Gomes, R. Melicio, V. M. Mendes, and H. M. Pousinho, Decision making for sustainable aggregation of clean energy in day-ahead market: uncertainty and risk, Renewable Energy, vol.133, pp.602-702, 2019.

R. Laia, H. M. Pousinho, R. Melicio, and V. M. Mendes, Bidding strategy of wind-thermal energy producers, Renewable Energy, vol.99, pp.673-681, 2016.

M. R. Sarker, Y. Dvorkin, and M. A. Ortega, Optimal participation of an electric vehicle aggregator in day-ahead energy and reserve markets, IEEE Trans. Power Syst, vol.31, issue.5, 2016.

S. Arora and J. W. Taylor, Forecasting electricity smart meter data using conditional kernel density estimation, Omega, vol.59, pp.47-59, 2016.

J. L. Viegas, S. M. Vieira, R. Melicio, V. M. Mendes, and J. M. Sousa, Classification of new electricity costumers based on surveys and smart metering data, Energy, vol.107, pp.804-817, 2016.

R. Eléctrica-de-españa, , 2018.

I. L. Gomes,

G. Pasaoglu, Driving and parking patterns of European car drivers -a mobility survey, Joint Research Centre, 2012.