Behavioural modelling for personal and societal benefits of V2G/V2H integration on EV adoption

[1]  Maria Fotopoulou,et al.  Day Ahead Optimal Dispatch Schedule in a Smart Grid Containing Distributed Energy Resources and Electric Vehicles , 2021, Sensors.

[2]  T. Boström,et al.  The pure PV-EV energy system – A conceptual study of a nationwide energy system based solely on photovoltaics and electric vehicles , 2021 .

[3]  J. Greenblatt,et al.  Quantifying the benefits of electric vehicles on the future electricity grid in the midwestern United States , 2020 .

[4]  Yue Wang,et al.  Multi-objective techno-economic-environmental optimisation of electric vehicle for energy services , 2020, Applied Energy.

[5]  Amarnath Banerjee,et al.  Leveraging owners' flexibility in smart charge/discharge scheduling of electric vehicles to support renewable energy integration , 2019, Comput. Ind. Eng..

[6]  Jack Brouwer,et al.  Optimal renewable generation and battery storage sizing and siting considering local transformer limits , 2019 .

[7]  Ndaona Chokani,et al.  User behaviour and electric vehicle charging infrastructure: An agent-based model assessment , 2019, Applied Energy.

[8]  Ebrahim Mortaz,et al.  An optimization model for siting and sizing of vehicle-to-grid facilities in a microgrid , 2019, Applied Energy.

[9]  M. Baldini,et al.  The impact of socioeconomic and behavioural factors for purchasing energy efficient household appliances: A case study for Denmark , 2018, Energy Policy.

[10]  Christos S. Ioakimidis,et al.  Peak shaving and valley filling of power consumption profile in non-residential buildings using an electric vehicle parking lot , 2018 .

[11]  G. Metternicht,et al.  Electric vehicle adoption: An analysis of best practice and pitfalls for policy making from experiences of Europe and the US , 2018 .

[12]  Olivier Deblecker,et al.  Optimal operation of an energy management system for a grid-connected smart building considering photovoltaics’ uncertainty and stochastic electric vehicles’ driving schedule , 2018 .

[13]  Archie C. Chapman,et al.  Does battery storage lead to lower GHG emissions , 2017 .

[14]  Carlos Henggeler Antunes,et al.  Energy management systems aggregators: A literature survey , 2017 .

[15]  Ai-Chun Pang,et al.  Optimized Day-Ahead Pricing With Renewable Energy Demand-Side Management for Smart Grids , 2017, IEEE Internet of Things Journal.

[16]  Qing Ling,et al.  An Online Convex Optimization Approach to Proactive Network Resource Allocation , 2017, IEEE Transactions on Signal Processing.

[17]  Ottorino Veneri,et al.  Technologies and Applications for Smart Charging of Electric and Plug-in Hybrid Vehicles , 2017 .

[18]  Mikhail Chester,et al.  Optimizing plug-in electric vehicle and vehicle-to-grid charge scheduling to minimize carbon emissions , 2016 .

[19]  Olivier Grunder,et al.  Residential energy management in smart grid considering renewable energy sources and vehicle-to-grid integration , 2016, 2016 IEEE Electrical Power and Energy Conference (EPEC).

[20]  Mohammad Sadeghi,et al.  Optimal operation of microgrids through simultaneous scheduling of electrical vehicles and responsive loads considering wind and PV units uncertainties , 2016 .

[21]  Chau Yuen,et al.  Balancing Power Demand Through EV Mobility in Vehicle-to-Grid Mobile Energy Networks , 2016, IEEE Transactions on Industrial Informatics.

[22]  Hidenori Komatsu,et al.  An experimental study on motivational change for electricity conservation by normative messages , 2015 .

[23]  Ali Elkamel,et al.  Effect of socio-economic factors on EV/HEV/PHEV adoption rate in Ontario , 2015 .

[24]  Wilfried van Sark,et al.  Smart charging of electric vehicles with photovoltaic power and vehicle-to-grid technology in a microgrid; a case study , 2015 .

[25]  Linni Jian,et al.  Optimal scheduling for vehicle-to-grid operation with stochastic connection of plug-in electric vehicles to smart grid , 2015 .

[26]  Joao P. S. Catalao,et al.  A new perspective for sizing of distributed generation and energy storage for smart households under demand response , 2015 .

[27]  E. Hobman,et al.  Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour , 2015 .

[28]  Tao Jiang,et al.  Load Shaping Strategy Based on Energy Storage and Dynamic Pricing in Smart Grid , 2014, IEEE Transactions on Smart Grid.

[29]  William Sierzchula,et al.  Factors influencing fleet manager adoption of electric vehicles , 2014 .

[30]  Iana Vassileva,et al.  Increasing energy efficiency in low-income households through targeting awareness and behavioral change , 2014 .

[31]  Thomas Franke,et al.  Is EV experience related to EV acceptance? Results from a German field study , 2014 .

[32]  Zofia Lukszo,et al.  Does controlled electric vehicle charging substitute cross-border transmission capacity? , 2014 .

[33]  Mohammad Hassan Amirioun,et al.  A new model based on optimal scheduling of combined energy exchange modes for aggregation of electric vehicles in a residential complex , 2014 .

[34]  Shaolei Ren,et al.  Bidirectional Energy Trading and Residential Load Scheduling with Electric Vehicles in the Smart Grid , 2013, IEEE Journal on Selected Areas in Communications.

[35]  I. Vassileva,et al.  Energy consumption feedback devices’ impact evaluation on domestic energy use , 2013 .

[36]  Wei He,et al.  State of charge estimation for electric vehicle batteries using unscented kalman filtering , 2013, Microelectron. Reliab..

[37]  B. McFarlane,et al.  Why We Don't "Walk the Talk": Understanding the Environmental Values/Behaviour Gap in Canada , 2009 .

[38]  Jason F. Shogren,et al.  On Behavioral-Environmental Economics , 2008, Review of Environmental Economics and Policy.

[39]  L. Rogers,et al.  Gaps in Mind: Problems in environmental knowledge-behaviour modelling research , 2002 .

[40]  P. Sheeran.  Intention—Behavior Relations: A Conceptual and Empirical Review , 2002 .