中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
长春光学精密机械与物... [1]
过程工程研究所 [1]
生态环境研究中心 [1]
西安光学精密机械研究... [1]
采集方式
OAI收割 [4]
内容类型
期刊论文 [2]
会议论文 [1]
学位论文 [1]
发表日期
2019 [1]
2013 [2]
2010 [1]
学科主题
筛选
浏览/检索结果:
共4条,第1-4条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
Dynamic thermal management for industrial waste heat recovery based on phase change material thermal storage
期刊论文
OAI收割
APPLIED ENERGY, 2019, 卷号: 236, 页码: 1168-1182
作者:
Li, Dacheng
;
Wang, Jihong
;
Ding, Yulong
;
Yao, Hua
;
Huang, Yun
  |  
收藏
  |  
浏览/下载:66/0
  |  
提交时间:2019/04/03
Dynamic thermal management
PCM thermal storage
Waste heat recovery
Intelligent algorithm
Peak shaving
Energy saving
Energy-saving object detection by efficiently rejecting a set of neighboring sub-images
期刊论文
OAI收割
signal processing, 2013, 卷号: 93, 期号: 8, 页码: 2205-2211
作者:
Pan, Jing
;
Pang, Yanwei
;
Zhang, Kun
;
Yuan, Yuan
;
Wang, Kongqiao
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2015/06/08
Object detection
Fast algorithm
Pattern recognition
Energy-saving algorithm
面向管网安全运行与节能降耗的水箱式二次供水运行优化
学位论文
OAI收割
硕士, 北京: 中国科学院研究生院, 2013
祁司亮
收藏
  |  
浏览/下载:98/0
  |  
提交时间:2014/09/01
二次供水
优化运行
节能降耗
遗传算法
secondary water supply system
optimal operation
energy saving and consumption reduction
genetic algorithm
Energy-saving scheduling strategy for elevator group control system based on ant colony optimization (EI CONFERENCE)
会议论文
OAI收割
2010 IEEE Youth Conference on Information, Computing and Telecommunications, YC-ICT 2010, November 28, 2010 - November 30, 2010, Beijing, China
作者:
Zhang J.-L.
;
Li J.-F.
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2013/03/25
Elevator group control scheduling is to dispatch every elevator to serve call requests from different floors based on some certain goal. It's a kind of typical combinatorial optimization problems. Ant colony algorithm is good at solving the discrete combinatorial optimization
its well global optimization ability and quick convergence velocity are both necessary to a scheduling algorithm. Moreover
reducing passengers' waiting and traveling time is the main focus of current dispatching algorithms
neglecting the energy consumed by the elevator system. So it's necessary to research on energy-saving algorithms. For the purpose of elevator group's energy-conservation run
the objective function of energy is built
ant colony model for elevator group control system is created
its optimization mechanism is figured out
and convergence of the algorithm is studied in this paper. Simulation results show the effectiveness of the strategy. 2010 IEEE.