Online learning of load elasticity for electric vehicle charging

Nasim Yahya Soltani, Seung Jun Kim, Georgios B Giannakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

While electric vehicles (EVs) are expected to provide environmental and economical benefits, judicious coordination of EV charging may be necessary to prevent overloading of the distribution grid. Leveraging the smart grid infrastructure, the utility company can adjust the electricity price intelligently for individual customers to elicit desirable load curves. In this context, the present paper addresses the problem of predicting the EV charging behavior of the consumers at different prices, which is a prerequisite for the price adjustment. The dependencies on price responsiveness among neighbouring consumers are captured by adopting a conditional random field (CRF) model. To account for temporal dynamics even in an adversarial setting, the framework of online convex optimization is adopted to develop an efficient online algorithm for estimating the CRF parameters. Numerical tests verify the proposed approach.

Original languageEnglish (US)
Title of host publication2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013
Pages436-439
Number of pages4
DOIs
StatePublished - Dec 1 2013
Event2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013 - Saint Martin, France
Duration: Dec 15 2013Dec 18 2013

Publication series

Name2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013

Other

Other2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013
CountryFrance
CitySaint Martin
Period12/15/1312/18/13

Fingerprint Dive into the research topics of 'Online learning of load elasticity for electric vehicle charging'. Together they form a unique fingerprint.

Cite this