~/talk

FairCharge: A Data-Driven Fairness-Aware Charging Recommendation System for Large-Scale Electric ...

on YouTube 06m
Talkat UbiComp / ISWC 2020 · 2020-09-12..09-17· [data-engineering]

speakers

name:Guang Wang
links:none on file
name:Yongfeng Zhang
links:none on file
name:Zhihan Fang
links:none on file
name:Shuai Wang
links:none on file
name:Fan Zhang
links:none on file
name:Desheng Zhang
links:none on file

resources

video:https://youtu.be/HFD-AC48EOw
slides:none on file

summary

A deployed recommendation system called FairCharge assigns charging targets for fleets using real GPS and transaction streams from Shenzhen (≈16,400 taxis, 117 stations, 2018) and simulates outcomes; it frames charging as online dynamic resource allocation with a greedy scalarization and enforces fairness as a constraint. Experiments report reduces queuing time by 80.2% and reduces fleet idle time by 67.7%, about 60% travel-time cut, ~13 minutes saved per charge, and large cumulative idle-time savings.

AI-written summary · about

chapters (6)

  1. 0:00Start
  2. 1:31Contribution of FairCharge
  3. 2:21Design: Key Idea of FairCharge
  4. 2:59Fairness Constraint
  5. 3:20Evaluation
  6. 3:56Performance (2)

related talks

~/search
type to search 6,249 conferences, 138,987 speakers and 185,172 talks
~/help
cmdctrl k
search every conference, speaker and series
/
focus the filter search
h
home
c
conferences
s
speakers
e
series
t
light / dark — the status bar button does the same
?
this help
esc
close this, then clear every filter — or just the search, while you are typing in it

Ignored while you are typing. Pages without a filter rail have no search to focus.