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西安交通大学 [3]

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	Semi-asynchronous personalized federated learning for short-term photovoltaic power forecasting 期刊论文 DIGITAL COMMUNICATIONS AND NETWORKS, 2023, 卷号: 9, 期号: 5, 页码: 1221-1229 作者: Zhang, Weishan; Chen, Xiao; He, Ke; Chen, Leiming; Xu, Liang 收藏 \| 浏览/下载：2/0 \| 提交时间：2024/02/22 Photovoltaic power forecasting Federated learning Edge computing CNN-LSTM
	Research of Photovoltaic Power Forecasting Based on Big Data and mRMR Feature Reduction 会议论文作者: Liu, Jun; Sun, Huiwen; Chang, Peng; Jiao, Zaibin; Wei, Ping 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/11/19 parameters optimizing SVR photovoltaic power forecasting Big data mRMR feature reduction
	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
	A combined forecasting approach with model self-adjustment for renewable generations and energy loads in smart community 期刊论文 Energy, 2017, 卷号: Vol.129, 页码: 216-227 作者: Li, Y; Wen, Z; Cao, YJ; Tan, Y; Sidorov, D 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/31 Wind power Photovoltaic generation Support vector machine Combined forecasting Smart community
	A combined forecasting approach with model self-adjustment for renewable generations and energy loads in smart community 期刊论文 Energy, 2017, 卷号: Vol.129, 页码: 216-227 作者: Li, Y.; Wen, Z.; Cao, Y.; Tan, Y.; Sidorov, D. 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/31 Combined forecasting Photovoltaic generation Smart community Support vector machine Wind power
	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
	The forecasting model research of daily solar radiation based on RLS and WT 期刊论文 Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2013, 卷号: 34, 期号: 3, 页码: 433-438 作者: Wang, Xiaolan; Ge, Pengjiang 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/11/14 Meteorology Photovoltaic cells Solar power generation Solar radiation Wavelet transforms Daily solar radiations Day types Forecasting modeling Forecasting precision Meteorological data Photovoltaic power Recursive least square (RLS) Sun radiation
	Photovoltaic Power Forecasting Based on Artificial Neural Network and Meteorological Data 会议论文作者: Kou, Jiahao; Liu, Jun; Li, Qifan; Fang, Wanliang; Chen, Zhenhuan 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/03 Maximum Absolute Prediction Error Artificial Neural Network Method Aerosol Index BP Network Photovoltaic Power Forecasting
	PV array output power forecasting based on similar day and RBFNN 期刊论文 Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2013, 卷号: 33, 期号: 1, 页码: 100-103+109 作者: Wang, Xiaolan; Ge, Pengjiang 收藏 \| 浏览/下载：7/0 \| 提交时间：2020/11/14 Atmospheric temperature Forecasting Functions Mean square error Models Neural networks Photovoltaic cells Solar radiation Forecasting modeling Mean absolute percentage error Output power PV arrays Rbfnn(radial basis function neural network) Root mean square errors Similar day Solar radiation intensity
	Power Prediction Model of Grid-Connected Photovoltaic and Power Flow Analysis 期刊论文 2012 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2012 作者: Lin, Meijun; Wang, Zhenshu; Liu, Yang; Chen, Meng; Meng, Fanyao 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/23 photovoltaic output forecasting diffuse radiation fitting model distribution network power flow

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