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西安交通大学 [4]

武汉大学 [3]

沈阳自动化研究所 [3]

兰州理工大学 [2]

电工研究所 [2]

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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：27/0 \| 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：12/0 \| 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
	Forecasting Based Power Ramp-Rate Control Strategies For Utility-Scale PV Systems 期刊论文 IEEE Transactions on Industrial Electronics, 2019, 卷号: 66, 页码: 1862-1871 作者: Chen, Xiaoyang; Du, Yang; Wen, Huiqing; Jiang, Lin; Xiao, Weidong 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/11/19 Active power Active power output Control strategies Energy storage systems Forecasting modeling Power ramp rates Short-term forecasting Solar forecasting
	A Weight-Varying Ensemble Method for Short-term Forecasting PV Power Output 期刊论文 INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS, 2019, 卷号: 158, 页码: 661-668 作者: Liu, Luyao; Zhao, Yi; Wang, Yu; Sun, Qie; Wennersten, Ronald 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/11 Weight-varying Genetic algorithm Optimization Neural network
	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 Based Power Ramp-Rate Control For PV Systems Without Energy Storage 会议论文作者: Chen, Xiaoyang; Du, Yang; Wen, Huiqing 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/11/26
	Power Ramp-Rate Control Based on Power Forecasting For PV Grid-tied Systems with Minimum Energy Storage 会议论文作者: Chen, Xiaoyang; Du, Yang; Xiao, Weidong; Lu, Shaofeng 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/11/26
	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

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