Online learning of electric vehicle consumers' charging behavior with missing data

Learning in the presence of missing data is a pervasive problem in statistical data analysis. This paper deals with tracking the dynamic charging behavior of electric vehicle consumers, when some of the consumers' consumption decisions are missing. The problem is then formulated as an online classification task with missing labels. An online algorithm is proposed to jointly impute the missing data while at the same time learn from the complete data using an online convex optimization approach.

[1]  Ambuj Tewari,et al.  On the Universality of Online Mirror Descent , 2011, NIPS.

[2]  Georgios B. Giannakis,et al.  Real-Time Load Elasticity Tracking and Pricing for Electric Vehicle Charging , 2015, IEEE Transactions on Smart Grid.

[3]  J. Driesen,et al.  The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid , 2010, IEEE Transactions on Power Systems.

[4]  Shai Shalev-Shwartz,et al.  Online Learning and Online Convex Optimization , 2012, Found. Trends Mach. Learn..

[5]  Michael I. Jordan,et al.  Graphical Models, Exponential Families, and Variational Inference , 2008, Found. Trends Mach. Learn..

[6]  Georgios B. Giannakis,et al.  Online learning of load elasticity for electric vehicle charging , 2013, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

[7]  S. Sojoudi,et al.  Optimal charging of plug-in hybrid electric vehicles in smart grids , 2011, 2011 IEEE Power and Energy Society General Meeting.

[8]  Ufuk Topcu,et al.  Optimal decentralized protocol for electric vehicle charging , 2011, IEEE Transactions on Power Systems.

[9]  S. S. Venkata,et al.  Coordinated Charging of Plug-In Hybrid Electric Vehicles to Minimize Distribution System Losses , 2011, IEEE Transactions on Smart Grid.

[10]  Ryan Liu,et al.  A survey of PEV impacts on electric utilities , 2011, ISGT 2011.

[11]  G. A. Putrus,et al.  Impact of electric vehicles on power distribution networks , 2009, 2009 IEEE Vehicle Power and Propulsion Conference.

[12]  Michael Chertkov,et al.  Learning price-elasticity of smart consumers in power distribution systems , 2012, 2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm).