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Journal Articles

An adaptive ensemble framework using multi-source data for day-ahead photovoltaic power forecasting

Kai Wang, Weijing Dou, Shuo Shan, Haikun Wei, Kanjian Zhang
Journal: Journal of Renewable and Sustainable Energy
J. Renewable Sustainable Energy 16, 013502 (2024)
https://doi.org/10.1063/5.0167340
Published: February 2024
View article titled, An adaptive ensemble framework using multi-source data for day-ahead photovoltaic power forecasting
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Includes: Supplementary data
Journal Articles

Research on distributed photovoltaic power prediction based on spatiotemporal information ensemble method

Xiyun Yang, Zeyu Zhao, Yan Peng, Junchao Ma
Journal: Journal of Renewable and Sustainable Energy
J. Renewable Sustainable Energy 15, 036102 (2023)
https://doi.org/10.1063/5.0150186
Published: June 2023
View article titled, Research on distributed photovoltaic power prediction based on spatiotemporal information ensemble method
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Journal Articles

Ultra-short-term prediction method of PV power output based on the CNN–LSTM hybrid learning model driven by EWT

Wenbo An, Lingwei Zheng, Jiawei Yu, Hao Wu
Journal: Journal of Renewable and Sustainable Energy
J. Renewable Sustainable Energy 14, 053501 (2022)
https://doi.org/10.1063/5.0101922
Published: September 2022
View article titled, Ultra-short-term prediction method of PV power output based on the CNN–LSTM hybrid learning model driven by EWT
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Journal Articles

Short-term wind power prediction based on preprocessing and improved secondary decomposition

Hui Hwang Goh, Ronghui He, Dongdong Zhang, Hui Liu, Wei Dai, Chee Shen Lim, Tonni Agustiono Kurniawan, Kenneth Tze Kin Teo, Kai Chen Goh
Journal: Journal of Renewable and Sustainable Energy
J. Renewable Sustainable Energy 13, 053302 (2021)
https://doi.org/10.1063/5.0059809
Published: September 2021
View article titled, Short-term wind power prediction based on preprocessing and improved secondary decomposition
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Journal Articles

A short-term hybrid wind power prediction model based on singular spectrum analysis and temporal convolutional networks

Yang Zhao, Li Jia
Journal: Journal of Renewable and Sustainable Energy
J. Renewable Sustainable Energy 12, 056101 (2020)
https://doi.org/10.1063/5.0007003
Published: September 2020
View article titled, A short-term hybrid wind power prediction model based on singular spectrum analysis and temporal convolutional networks
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Journal Articles

Data article: Distributed PV power data for three cities in Australia

Jamie M. Bright, Sven Killinger, Nicholas A. Engerer
Journal: Journal of Renewable and Sustainable Energy
J. Renewable Sustainable Energy 11, 035504 (2019)
https://doi.org/10.1063/1.5094059
Published: May 2019
View article titled, Data article: Distributed PV power data for three cities in Australia
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Includes: Supplementary data
Journal Articles

Method and strategy for predicting daily global solar radiation using one and two input variables for Indian stations

K. D. V. Siva Krishna Rao, M. Premalatha, C. Naveen
Journal: Journal of Renewable and Sustainable Energy
J. Renewable Sustainable Energy 10, 013701 (2018)
https://doi.org/10.1063/1.4995035
Published: January 2018
View article titled, Method and strategy for predicting daily global solar radiation using one and two input variables for Indian stations
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Journal Articles

A novel combined forecasting model for short-term wind power based on ensemble empirical mode decomposition and optimal virtual prediction

Kaipei Liu, Yachao Zhang, Liang Qin
Journal: Journal of Renewable and Sustainable Energy
J. Renewable Sustainable Energy 8, 013104 (2016)
https://doi.org/10.1063/1.4939543
Published: January 2016
View article titled, A novel combined forecasting model for short-term wind power based on ensemble empirical mode decomposition and optimal virtual prediction
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