中国开放科研知识云: 检索

验证码:

换一张

忘记密码？记住我

取消登录

CORC

首页
科研机构
检索
知识图谱
申请加入
托管服务

在结果中检索

科研机构

厦门大学 [4]

重庆大学 [3]

兰州大学 [3]

自动化研究所 [3]

西安理工大学 [3]

沈阳自动化研究所 [3]

内容类型

期刊论文 [25]

学位论文 [4]

会议论文 [2]

发表日期

学科主题

business &... [1]

mathematic... [1]

thermodyna... [1]

知识图谱

CORC

已提交作品

待认领作品

已认领作品

未提交全文

浏览/检索结果: 共34条，第1-10条

帮助

已选(0)清除条数/页：排序方式：
	A novel two-stage seasonal grey model for residential electricity consumption forecasting 期刊论文 ENERGY, 2022, 卷号: 258, 页码: 18 作者: Du, Pei; Guo, Ju'e; Sun, Shaolong; Wang, Shouyang; Wu, Jing 收藏 \| 浏览/下载：10/0 \| 提交时间：2023/02/07 Electricity consumption forecasting Grey model Seasonal factor Error correction strategy
	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：11/0 \| 提交时间：2022/07/25 Transfer learning Black swan event Small-sample learning COVID-19 Load forecasting
	Forecasting residential electricity consumption using a hybrid machine learning model with online search data 期刊论文 Applied Energy, 2021, 期号: 300, 页码: 1-13 作者: Gao Feng; Chi Hong; Shao Xueyan 收藏 \| 浏览/下载：3/0 \| 提交时间：2022/03/01 Residential electricity consumption forecasting Online search data Extreme learning machine Jaya
	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：64/0 \| 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
	Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network. 期刊论文 Applied Energy, 2019, 卷号: Vol.233, 页码: 565-575 作者: He, Yaoyao; Qin, Yang; Wang, Shuo; Wang, Xu; Wang, Chao 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/17 ELECTRIC power consumption PROBABILITY density function QUANTILE regression ARTIFICIAL neural networks RENEWABLE energy sources *SMART power grids
	Electricity Consumption Forecasting using Support Vector Regression with the Mixture Maximum Correntropy Criterion 期刊论文 2019, 卷号: 21 作者: Duan, Jiandong; Tian, Xuan; Ma, Wentao; Qiu, Xinyu; Wang, Peng 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/20 electricity consumption forecasting support vector regression mixture maximum correntropy criterion parameter optimization
	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
	Forecasting Electricity Consumption Using an Improved Grey Prediction Model 期刊论文 INFORMATION, 2018, 卷号: 9, 期号: 8 作者: Li, Kai; Zhang, Tao 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/08/22 grey forecasting model electricity consumption GM(1 1) model background value data transformation DCOGM(1 1)
	Forecasting the Electricity Consumption of Commercial Sector in Hong Kong Using a Novel Grey Dynamic Prediction Model 期刊论文 2018, 卷号: 30, 页码: 159-174 作者: Zeng, Bo[1,2]; Tan, Yongtao[3]; Xu, Hui[3,4]; Quan, Jing[1]; Wang, Luyun[1] 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/11/30

相关链接
欧盟学术资源开放存取平台
CALIS高校机构知识库
台湾学术机构典藏
香港机构知识库整合系统
中国科学院机构知识库网格系统

CORC
关于我们
服务条款
隐私条款

联系我们
0931-8270076
cspace@llas.ac.cn
China-OR

中文简体

©版权所有 ©2017 CSpace - Powered by CSpace