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沈阳自动化研究所 [3]

兰州理工大学 [2]

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西安交通大学 [1]

山东大学 [1]

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	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：33/0 \| 提交时间：2021/03/08 PV power generation prediction Deep fuzzy model Double input rule module Data driven method Least square method
	Short-Term Photovoltaic Power Prediction Modeling Based on AdaBoost Algorithm and Elman 会议论文 Virtual, Chengdu, China, December 25-27, 2020 作者: Sun, Wenxuan; Zhang T(张涛); Tao, Ran; Wang AN(王安娜) 收藏 \| 浏览/下载：13/0 \| 提交时间：2021/03/14 Photovoltaic power prediction AdaBoost algorithm Bat algorithm Elman nerve-network
	Very Short-Term Solar Generation Forecasting Based on LSTM with Temporal Attention Mechanism 会议论文 Chengdu, China, China, 6-9 Dec. 2019 作者: Pan, Cheng; Tan, Jie; Feng, Dandan; Li, Yi 收藏 \| 浏览/下载：6/0 \| 提交时间：2020/09/25 photovoltaic power prediction , Long Short-Term Memory (LSTM) , attention mechanism , machine learning , partial correlation analysis
	Study On Short-Term Predictions About Photovoltaic Output Power From Plants Lacking In Solar Radiation Data 会议论文 2018 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA 2018), 2018-01-01 作者: Shi, Xiao-yu; Huang, Qiang; Li, Jiang-feng; Lei, Xu-wen 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/20 dynamic Elman model dynamic BP model PV forecasting
	Takagi-Sugeno fuzzy model-based approach considering multiple weather factors for the photovoltaic power short-term forecasting 期刊论文 IET Renewable Power Generation, 2017, 卷号: 11, 期号: 10, 页码: 1281-1287 作者: Liu, Fang; Li, Ranran; Li, Yong*; Yan, Ruifeng; Saha, Tapan 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/03 photovoltaic power systems load forecasting least mean squares methods recursive estimation support vector machines backpropagation recurrent neural nets fuzzy reasoning power engineering computing Takagi-Sugeno fuzzy model-based approach multiple-weather factors photovoltaic power short-term forecasting PV systems electricity supply PV power forecasting air temperature humidity wind speed wind direction insolation T-S fuzzy model correlation analysis fuzzy c-mean clustering algorithm recursive least square method St Lucia campus The Queensland University of Australia support vector machine SVM empirical mode decomposition back propagation neural network recurrent neural network power 433 kW
	Forecasting Power Output of Photovoltaic System Using A BP Network Method 期刊论文 Energy Procedia, 2017, 卷号: 142, 页码: 780-786 作者: Liu, Luyao; Liu, Diran; Sun, Qie; Li, Hailong; Wennersten, Ronald 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/16 BP neural network correlation analysis input variables PV power forecast
	Model of Output Power of Photovoltaic Station Based on Grey Theory and Neural Network 会议论文作者: Feng, Wenxuan; Wang, Tong; Tong, Huan 收藏 \| 浏览/下载：14/0 \| 提交时间：2019/11/15 short-term-ahead forecasting PV output forecasting model grey system theory neural network
	An Improved Photovoltaic Power Forecasting Model With the Assistance of Aerosol Index Data 期刊论文 IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2015, 卷号: 6, 期号: [db:dc_citation_issue], 页码: 434-442 作者: Liu, Jun; Fang, Wanliang; Zhang, Xudong; Yang, Chunxiang 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/02 Aerosol index (AI) back propagation (BP) network artificial neural network (ANN) method maximum absolute prediction error photovoltaic (PV) power forecasting
	Day-ahead hourly photovoltaic generation forecasting using extreme learning machine 会议论文 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), Shenyang, China, June 8-12, 2015 作者: Li ZW(李忠文); Zang CZ(臧传治); Zeng P(曾鹏); Yu HB(于海斌); Li HP(李鹤鹏) 收藏 \| 浏览/下载：24/0 \| 提交时间：2015/12/19 BP Neural Networks Day-ahead Photovoltaic Forecasting Extreme Learning Machine
	基于相似日和神经网络的光伏发电预测期刊论文可再生能源, 2013, 卷号: 31, 期号: 10, 页码: 1-4, 9 作者: 臧传治收藏 \| 浏览/下载：16/0 \| 提交时间：2013/12/26 光伏发电相似日原理 BP神经网络功率预测

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