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期刊论文 [9]
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2019 [9]
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Energy-aware fuzzy job-shop scheduling for engine remanufacturing at the multi-machine level
期刊论文
Frontiers of Mechanical Engineering, 2019, 卷号: 14, 期号: 4, 页码: 474-488
作者:
Zhao JL(赵家黎)
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浏览/下载:4/0
  |  
提交时间:2020/11/19
remanufacturing scheduling
adaptive genetic algorithm
energy efficiency
sustainable remanufacturing
hormone modulation mechanism
Constrained maximum weighted bipartite matching: a novel approach to radio broadcast scheduling
期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2019, 卷号: 62, 期号: 7, 页码: 14
作者:
Wang, Shaojiang
;
Bu, Dongbo
;
Cai, Shaowei
;
Wu, Tianyong
;
Yao, Yuan
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浏览/下载:105/0
  |  
提交时间:2019/08/16
radio broadcast scheduling
branch-and-bound algorithm
constrained maximum weighted bipartite matching
Kuhn-Munkres algorithm
strategy combinations
It Is Time to Get Some Rest
期刊论文
MANAGEMENT SCIENCE, 2019, 卷号: 65, 期号: 4, 页码: 1717-1734
作者:
Baucells, Manel
;
Zhao, Lin
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  |  
浏览/下载:17/0
  |  
提交时间:2020/01/10
disutility
effort
fatigue
time preferences
scheduling
athletic time trial
Operation rule derivation of hydropower reservoir by k-means clustering method and extreme learning machine based on particle swarm optimization
期刊论文
JOURNAL OF HYDROLOGY, 2019, 卷号: 576, 页码: 229-238
作者:
Feng, Zhong-kai
;
Niu, Wen-jing
;
Zhang, Rui
;
Wang, Sen
;
Cheng, Chun-tian
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  |  
浏览/下载:58/0
  |  
提交时间:2019/08/15
Hydropower reservoir
Operation rule derivation
k-Means clustering
Extreme learning machine
Particle swarm optimization
A Multi-Objective Risk Scheduling Model of an Electrical Power System-Containing Wind Power Station with Wind and Energy Storage Integration
期刊论文
ENERGIES, 2019, 卷号: 12
作者:
He, Hai
;
Peng, Feixiang
;
Gao, Zhengnan
;
Liu, Xin
;
Hu, Shubo
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浏览/下载:63/0
  |  
提交时间:2019/12/02
wind power
risk
optimal operation
battery energy storage
Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON SMART GRID, 2019, 卷号: 10, 期号: 5, 页码: 5246-5257
作者:
Wan, Zhiqiang
;
Prokhorov, Danil
;
Li HP(李鹤鹏)
;
He HB(何海波)
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浏览/下载:83/0
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提交时间:2019/09/15
Deep reinforcement learning
model-free
EV charging scheduling
Dynamic Energy Management of a Microgrid using Approximate Dynamic Programming and Deep Recurrent Neural Network Learning
期刊论文
IEEE Transactions on Smart Grid, 2019, 卷号: 10, 期号: 4, 页码: 4435-4445
作者:
Zeng P(曾鹏)
;
He HB(何海波)
;
Li HP(李鹤鹏)
;
Li SH(李署辉)
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浏览/下载:45/0
  |  
提交时间:2018/08/11
Microgrid
Dynamic Energy Management System
Approximate Dynamic Programming
Recurrent Neural Network
Deep Learning
Electric vehicle charging schedule considering user\'s charging selection from economics
期刊论文
IET GENERATION TRANSMISSION & DISTRIBUTION, 2019, 卷号: Vol.13 No.15, 页码: 3388-3396
作者:
Chen, J
;
Huang, XQ
;
Tian, SM
;
Cao, YJ
;
Huang, BC
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浏览/下载:30/0
  |  
提交时间:2019/12/17
particle swarm optimisation
distribution networks
battery powered vehicles
scheduling
optimisation
electric vehicles
power distribution economics
power grids
electric vehicle charging schedule considering user
large-scale EV applications
optimal scheduling
EV users
deviation
power grid schedule
multiobjective scheduling method
optimal EV charging
charging selection
user constraint
charging preferences
scheduling model
ideal scheduling
actual scheduling
EV user
Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON SMART GRID, 2019, 卷号: 10, 期号: 5, 页码: 5246-5257
作者:
Wan, Zhiqiang
;
Li HP(李鹤鹏)
;
He HB(何海波)
;
Prokhorov, Danil
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2019/09/15
Deep reinforcement learning
model-free
EV charging scheduling
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