Data mining of plug-in electric vehicles charging behavior using supply-side data
Authors:
- Choudhury SiddiqueCSChoudhury Siddique
- Fatima AfifahFAFatima Afifah
- Zhaomiao GuoZGZhaomiao Guo
- Yan ZhouYZYan Zhou
- 1 February 2022
- journal article
- research article
- Published by Elsevier in Energy Policy
- Vol. 161
Abstract
No abstract availableKeywords
This publication has 29 references indexed in Scilit:
- The investigation of the major factors influencing plug-in electric vehicle driving patterns and charging behaviourRenewable and Sustainable Energy Reviews, 2015
- A multi-agent system for distribution grid congestion management with electric vehiclesEngineering Applications of Artificial Intelligence, 2015
- A fuzzy chance-constrained program for unit commitment problem considering demand response, electric vehicle and wind powerInternational Journal of Electrical Power & Energy Systems, 2015
- Optimized Electric Vehicle Charging With Intermittent Renewable Energy SourcesIEEE Journal of Selected Topics in Signal Processing, 2014
- Beta Regression Models: Joint Mean and Variance ModelingJournal of Statistical Theory and Practice, 2014
- V2G strategies for congestion management in microgrids with high penetration of electric vehiclesElectric Power Systems Research, 2013
- Charging Choices and Fuel Displacement in a Large-Scale Demonstration of Plug-In Hybrid Electric VehiclesTransportation Research Record: Journal of the Transportation Research Board, 2013
- Responses to battery electric vehicles: UK consumer attitudes and attributions of symbolic meaning following direct experience to reduce psychological distanceTransportation Research Part D: Transport and Environment, 2011
- Impact of plug-in hybrid electric vehicles on power systems with demand response and wind powerEnergy Policy, 2011
- Beta Regression for Modelling Rates and ProportionsJournal of Applied Statistics, 2004