×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
清华大学 [5]
兰州理工大学 [5]
兰州大学 [5]
华南理工大学 [4]
自动化研究所 [3]
沈阳自动化研究所 [3]
更多...
内容类型
期刊论文 [20]
会议论文 [16]
学位论文 [3]
其他 [1]
发表日期
2022 [1]
2019 [8]
2018 [2]
2017 [2]
2016 [3]
2015 [2]
更多...
学科主题
computer s... [1]
electric p... [1]
electric p... [1]
electricit... [1]
electronic... [1]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共40条,第1-10条
帮助
已选(
0
)
清除
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
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Black swan event small-sample transfer learning (BEST-L) and its case study on electrical power prediction in COVID-19
期刊论文
APPLIED ENERGY, 2022, 卷号: 309, 页码: 10
作者:
Hu, Chenxi
;
Zhang, Jun
;
Yuan, Hongxia
;
Gao, Tianlu
;
Jiang, Huaiguang
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/07/25
Transfer learning
Black swan event
Small-sample learning
COVID-19
Load forecasting
Short-term electricity load forecasting using a mapreduce-based elman networks with coarse-grained parallel genetic optimization
会议论文
Dali, China, December 6, 2019 - December 8, 2019
作者:
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/11/15
Agricultural robots
Biomimetics
Efficiency
Electric power plant loads
Forecasting
Genetic algorithms
Neural networks
Robotics
Coarse-grained parallels
Electrical load forecasting
Elman neural network
Elman neural networks (ENN)
Map-reduce
Meteorological information
Short-term electrical loads
Short-term electricity load forecasting
Community electric vehicle load forecasting based on time series distribution
会议论文
Guizhou, China, August 9, 2019 - August 11, 2019
作者:
Li, Hengjie
;
Zhu, Yueyang
;
Chen, Wei
;
Lv, Junqing
;
Zeng, Xianqiang
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2020/11/15
Charging time
Electric load distribution
Electric power plant loads
Electric power system planning
Electric power transmission networks
Electric vehicles
Forecasting
Housing
Landforms
Charging loads
Discharging characteristics
Electric vehicle charging
Electricity prices
Power grids
Power system planning
Residential areas
Vehicle load
Data driven parallel prediction of building energy consumption using generative adversarial nets
期刊论文
ENERGY AND BUILDINGS, 2019, 卷号: 186, 页码: 230-243
作者:
Tian, Chenlu
;
Li, Chengdong
;
Zhang, Guiqing
;
Lv, Yisheng
收藏
  |  
浏览/下载:69/0
  |  
提交时间:2019/07/12
building energy consumption
deep learning
parallel prediction
Generative Adversarial Nets
Long-term electricity consumption forecasting based on expert prediction and fuzzy Bayesian theory
期刊论文
ENERGY, 2019, 卷号: 167, 页码: 1144-1154
作者:
Tang, Lei
;
Wang, Xifan
;
Wang, Xiuli
;
Shao, Chengcheng
;
Liu, Shiyu
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/11/19
Long-term
Annual electricity consumption
Load forecasting
Expert prediction
Fuzzy Bayes
A Review of Load Forecasting of the Distributed Energy System
期刊论文
IOP Conference Series: Earth and Environmental Science, 2019, 卷号: Vol.237 No.4, 页码: 042019
作者:
Wang, Z.a
;
Li, J.a
;
Zhu, S.b
;
Zhao, J.b
;
Deng, S.b
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/11/21
A Review of Load Forecasting of the Distributed Energy System
期刊论文
IOP Conference Series: Earth and Environmental Science, 2019, 卷号: Vol.237 No.4
作者:
Wang, Z.
;
Li, J.
;
Zhu, S.
;
Zhao, J.
;
Deng, S.
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/21
Multi-objective optimal day-ahead dispatching for offshore integrated electricity and natural gas energy system considering load forecasting
会议论文
作者:
Ding, Yurong
;
Chen, Hongkun
;
Wu, Jun
;
Liao, Jiaqi
;
Wang, Xuechun
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/05
Forecasting short-term residential electricity consumption using a deep fusion model
期刊论文
Lecture Notes in Electrical Engineering, 2019, 卷号: 529, 页码: 359-371
作者:
Lei, M.
;
Tang, L.
;
Li, M.
;
Ye, Z.
;
Pan, L.
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/30
Convolution
Forecasting
Housing
Neural networks
Convolutional neural network
Electricity consumption forecasting
Electricity-consumption
Fully connected neural network
Residential electricity
Residential electricity consumption
Short term load forecasting
Short term prediction
Electric power utilization
Data driven hybrid fuzzy model for short-term traffic flow prediction
期刊论文
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 卷号: 35, 期号: 6, 页码: 6525-6536
作者:
Li, Chengdong
;
Yan, Bingyang
;
Tang, Minjia
;
Yi, Jianqiang
;
Zhang, Xiqiao
收藏
  |  
浏览/下载:68/0
  |  
提交时间:2019/07/12
Traffic flow prediction
fuzzy method
single input rule module
least square learning
traffic-flow pattern
©版权所有 ©2017 CSpace - Powered by
CSpace