Electric Vehicle Trip Information Inference Based on Time-Series Residential Electricity Consumption-Reference-Cited by-同舟云学术

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Electric Vehicle Trip Information Inference Based on Time-Series Residential Electricity Consumption

Published:2023-09-01 Issue:17 Volume:10 Page:15666-15678
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Kang Liuwang¹^ORCID,Shen Haiying¹^ORCID,Xu Shiwei²,Li Yezhuo³

Affiliation:

1. Department of Computer Science, University of Virginia, Charlottesville, VA, USA

2. School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an, China

3. School of Mathematical and Statistical Sciences, Clemson University, Clemson, SA, USA

Funder

U.S. NSF

Federal Highway Administration

Microsoft Research Faculty Fellowship

Commonwealth Cyber Initiative (CCI), an Investment in the Advancement of Cyber Research, Innovation and Workforce Development

National Natural Science Foundation of China

Natural Science Foundation Project of Shaanxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

https://ieeexplore.ieee.org/ielam/6488907/10227658/10093841-aam.pdf

Reference26 articles.

1. Training-free non-intrusive load monitoring of electric vehicle charging with low sampling rate

2. Privacy Preservation Needed for Smart Meter System: A Methodology to Recognize Electric Vehicle (EV) Models

3. Preventing battery attacks on electrical vehicles based on data-driven behavior modeling

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