Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Charlie Qiu"'
Publikováno v:
Journal of Communications Software and Systems, Vol 10, Iss 2, Pp 114-123 (2014)
With an increased number of plug-in electric vehicles (PEVs) on the roads, PEV charging infrastructure is gaining an ever-more important role in simultaneously meeting the needs of drivers and those of the local distribution grid. However, the curren
Externí odkaz:
https://doaj.org/article/0ac7c4ffd92d400ab89191d65c91ecc1
Publikováno v:
2022 IEEE Green Energy and Smart System Systems (IGESSC).
Publikováno v:
IEEE Transactions on Industrial Informatics. 11:242-250
This paper proposes a new cellphone application algorithm which has been implemented for the prediction of energy consumption at electric vehicle (EV) charging stations at the University of California, Los Angeles (UCLA). For this interactive user ap
Autor:
Yubo Wang, Charlie Qiu, Bin Wang, Rajit Gadh, Rui Huang, Chi-Cheng Chu, Hamidreza Nazaripouya
Publikováno v:
2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D).
Un-coordinated Electric Vehicle (EV) charging can create unexpected load in local distribution grid, which may degrade the power quality and system reliability. The uncertainty of EV load, user behaviors and other baseload in distribution grid, is on
Publikováno v:
SmartGridComm
Uncontrolled Electric Vehicle (EV) and Plug-in Hybrid Electric Vehicle (PHEV) charging within a local distribution grid may cause unexpected high load, which further results in power quality degradation. However, coordinating charging behaviors of a
Publikováno v:
ISGT
In this paper, we propose and implement a smart Electric Vehicle (EV) charging algorithm to control the EV charging infrastructures according to users' price preferences. Charging boxes, equipped with bi-directional communication devices and smart me
Publikováno v:
SmartGridComm
Three algorithms for the forecasting of energy consumption at individual EV charging outlets have been applied to real world data from the UCLA campus. Out of these three algorithms, namely k-Nearest Neighbor (kNN), ARIMA, and Pattern Sequence Foreca
Publikováno v:
2014 IEEE PES General Meeting | Conference & Exposition.
This paper describes the core cellphone application algorithm which has been implemented for the prediction of energy consumption at Electric Vehicle (EV) Charging Stations at UCLA. For this interactive user application, the total time of accessing d
Publikováno v:
ISGT
WINSmartEV™ is a smart electric vehicle charging system that has been built and is currently in operation. It is a software and network based EV charging system designed and built around the ideas of intelligent charge scheduling, multiplexing (con
Publikováno v:
Journal of Communications Software and Systems
Volume 10
Issue 2
Journal of Communications Software and Systems, Vol 10, Iss 2, Pp 114-123 (2014)
Volume 10
Issue 2
Journal of Communications Software and Systems, Vol 10, Iss 2, Pp 114-123 (2014)
With an increased number of plug-in electric vehicles (PEVs) on the roads, PEV charging infrastructure is gaining an ever-more important role in simultaneously meeting the needs of drivers and those of the local distribution grid. However, the curren