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科研机构

湖南大学 [5]

兰州理工大学 [4]

天津大学 [3]

大连理工大学 [1]

北京航空航天大学 [1]

自动化研究所 [1]

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期刊论文 [13]

会议论文 [3]

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2019 [16]

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发表日期：2019

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	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: Bao, Guangqing; Liu, Fuchao; He, Xin; Zhang, Gang 收藏 \| 浏览/下载：1/0 \| 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：5/0 \| 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
	Power load data preprocessing based on PFCM algorithm and neural network 会议论文 Chongqing, China, May 24, 2019 - May 26, 2019 作者: Hao, Xiaohong; Zhang, Chunyan; Li, Hang; Wang, Weizhou; Liu, Fuchao 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/11/15 Classification (of information) Curve fitting Electric load dispatching Electric power plant loads Electric power transmission networks Genetic algorithms Radial basis function networks Statistics Average relative error Clustering results Genetic-algorithm optimizations Number of clusters Outliers Power load RBF Neural Network Trained neural networks
	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
	An Efficient Load Forecasting in Predictive Control Strategy Using Hybrid Neural Network 期刊论文 Journal of Circuits, Systems and Computers, 2019 作者: Sengar, S.; Liu, X. 收藏 \| 浏览/下载：12/0 \| 提交时间：2019/12/02 Electric power plant loads Energy efficiency Energy resources Neural networks Optimization, Cuckoo search algorithms Cuckoo searches Hybrid neural networks Levy flights Load forecasting Overall energy efficiency Power load forecasting Predictive control strategy, Weather forecasting
	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
	Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting 期刊论文 International Journal of Electrical Power and Energy Systems, 2019, 卷号: Vol.109, 页码: 470-479 作者: Wang, S.; Wang, X.; Wang, D. 收藏 \| 浏览/下载：58/0 \| 提交时间：2019/11/21 Artificial intelligence Attention mechanism Bi-directional long short-term memory Deep learning Load forecasting Rolling update
	A learning framework based on weighted knowledge transfer for holiday load forecasting 期刊论文 Journal of Modern Power Systems and Clean Energy, 2019, 卷号: Vol.7 No.2, 页码: 329-339 作者: Pan ZENG; Chang SHENG; Min JIN 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/13 Load forecasting Holiday effect Sparse data Weighted transfer learning
	Holographic Ensemble Forecasting Method for Short-Term Power Load 期刊论文 IEEE Transactions on Smart Grid, 2019, 卷号: Vol.10 No.1, 页码: 425-434 作者: Mo Zhou; Min Jin 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/13 Forecasting Load modeling Predictive models Training Load forecasting Load management Correlation Short-term load forecasting holographic ensemble forecasting method multi-source data diversity sampling multiple heterogeneous models online second learning

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