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科研机构

兰州理工大学 [6]

数学与系统科学研究院 [4]

沈阳自动化研究所 [2]

合肥物质科学研究院 [2]

地理科学与资源研究所 [1]

科技战略咨询研究院 [1]

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期刊论文 [16]

会议论文 [3]

发表日期

2020 [19]

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发表日期：2020

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	Causal convolutional gated recurrent unit network with multiple decomposition methods for short-term wind speed forecasting 期刊论文 ENERGY CONVERSION AND MANAGEMENT, 2020, 卷号: 226, 页码: 15 作者: Zhang, Guowei; Liu, Da 收藏 \| 浏览/下载：4/0 \| 提交时间：2021/04/26 Causal convolutional network Gated recurrent unit Multiple decomposition methods Short-term wind speed forecasting
	Accurate prediction of short-term photovoltaic power generation via a novel double-input-rule-modules stacked deep fuzzy method 期刊论文 ENERGY, 2020, 卷号: 212, 页码: 13 作者: Li, Chengdong; Zhou, Changgeng; Peng, Wei; Lv, Yisheng; Luo, Xin 收藏 \| 浏览/下载：28/0 \| 提交时间：2021/03/08 PV power generation prediction Deep fuzzy model Double input rule module Data driven method Least square method
	Deterministic and probabilistic wind speed forecasting with de-noising-reconstruction strategy and quantile regression based algorithm 期刊论文 RENEWABLE ENERGY, 2020, 卷号: 162, 页码: 1208-1226 作者: Hu, Jianming; Heng, Jiani; Wen, Jiemei; Zhao, Weigang 收藏 \| 浏览/下载：11/0 \| 提交时间：2021/04/26 Renewable energy Complete empirical mode decomposition with adaptive noise Quantile regression neural network Wind speed forecasting Distance correlation
	A new ensemble deep learning approach for exchange rates forecasting and trading 期刊论文 ADVANCED ENGINEERING INFORMATICS, 2020, 卷号: 46, 页码: 10 作者: Sun, Shaolong; Wang, Shouyang; Wei, Yunjie 收藏 \| 浏览/下载：11/0 \| 提交时间：2021/04/26 Ensemble learning Forecasting Trading Deep learning LSTM
	Modeling Hourly Soil Temperature Using Deep BiLSTM Neural Network 期刊论文 ALGORITHMS, 2020, 卷号: 13, 期号: 7 作者: Li, Cong; Zhang, Yaonan; Ren, Xupeng 收藏 \| 浏览/下载：10/0 \| 提交时间：2022/03/01 soil temperature machine learning weather forecasting data BiLSTM soil depths
	Modeling hourly soil temperature using deep BiLSTM neural network 期刊论文 Algorithms, 2020, 卷号: 13, 期号: 7 作者: Li, Cong; Zhang, Yaonan; Ren, Xupeng 收藏 \| 浏览/下载：3/0 \| 提交时间：2020/11/14 Agricultural robots Agriculture Climate models Deep neural networks Mean square error Neural networks Soils Temperature Time series analysis Agricultural productions Biogeochemical models Coefficient of determination Correlation analysis Geothermal development Machine learning models Meteorological parameters Root mean square errors
	Fault prediction of power supply vehicle based on multi-state time series prediction learning 期刊论文 Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2020, 卷号: 50, 期号: 4, 页码: 1532-1544 作者: Li, Wei; Zhou, Bing-Xiang; Jiang, Dong-Nian; Sun, Xiao-Jing 收藏 \| 浏览/下载：17/0 \| 提交时间：2020/11/14 Forecasting Long short-term memory Nearest neighbor search Time series Vehicles Complex equipment Experimental analysis Nearest neighbors Operation situation Real-time operation Simulation systems Time series prediction Vehicle operations
	Air Pollution Forecasting Using Artificial and Wavelet Neural Networks with Meteorological Conditions 期刊论文 AEROSOL AND AIR QUALITY RESEARCH, 2020, 卷号: 20, 期号: 6, 页码: 1429-1439 作者: Guo, Qingehun; He, Zhenfang; Li, Shanshan; Li, Xinzhou; Meng, Jingjing 收藏 \| 浏览/下载：20/0 \| 提交时间：2020/07/08 Air pollution Wavelet artificial neural network Meteorological factor Forecast
	Air Pollution Forecasting Using Artificial and Wavelet Neural Networks with Meteorological Conditions 期刊论文 AEROSOL AND AIR QUALITY RESEARCH, 2020, 卷号: 20, 期号: 6, 页码: 1429-1439 作者: Guo, Qingehun; He, Zhenfang; Li, Shanshan; Li, Xinzhou; Meng, Jingjing 收藏 \| 浏览/下载：10/0 \| 提交时间：2021/08/31 Air pollution Wavelet artificial neural network Meteorological factor Forecast
	Predicting Oil Production in Single Well using Recurrent Neural Network 会议论文 Virtual, Fuzhou, China, June 12, 2020 - June 14, 2020 作者: Xia, Lin; Shun, Xu; Jiewen, Wu; Lan, Mi 收藏 \| 浏览/下载：2/0 \| 提交时间：2020/11/15 Big data Decision trees Forecasting Internet of things Oil field development Oil wells Petroleum industry Predictive analytics Support vector machines Generalization capability Large scale data Prediction accuracy Predictive modeling Production data Production prediction Single well production Water saturations

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