Decision Technique of Solar Radiation Prediction Applying Recurrent Neural Network for Short-Term Ahead Power Output of Photovoltaic System

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Smart Grid and Renewable Energy

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"Decision Technique of Solar Radiation Prediction Applying Recurrent Neural Network for Short-Term Ahead Power Output of Photovoltaic System"
written by Atsushi Yona, Tomonobu Senjyu, Toshihisa Funabashi, Paras Mandal, Chul-Hwan Kim,
published by Smart Grid and Renewable Energy, Vol.4 No.6A, 2013

has been cited by the following article(s):

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[14]	Integrating Solar PV Systems into Residential Buildings in Cold-climate Regions: The Impact of Energy-efficient Homes on Shaping the Future Smart Grid
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[15]	Forecasting of Short Term Photovoltaic Generation by Various Input Model in Supervised Learning
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[17]	Photovoltaic Generation Forecasting Using Weather Forecast and Predictive Sunshine and Radiation
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[18]	Short-term ensemble forecast for purchased photovoltaic generation
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[24]	Predicting Solar Radiation for Renewable Energy Technologies—A Random Forest Approach
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[27]	Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study
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[2]	Application of Improved Neural Network Models in Photovoltaic Power Generation Forecasting 2024 IEEE 6th International Conference on Civil Aviation Safety and Information Technology (ICCASIT), 2024 DOI:10.1109/ICCASIT62299.2024.10828085

[3]	Assessing Critical Data Types for Deep Leaming-Based PV Generation Forecasting 2023 IEEE Belgrade PowerTech, 2023 DOI:10.1109/PowerTech55446.2023.10202973

[4]	PV power prediction in a peak zone using recurrent neural networks in the absence of future meteorological information Renewable Energy, 2021 DOI:10.1016/j.renene.2020.12.021

[5]	PV power prediction in a peak zone using recurrent neural networks in the absence of future meteorological information Renewable Energy, 2021 DOI:10.1016/j.renene.2020.12.021

[6]	Application of SRNN-GRU in Photovoltaic power Forecasting E3S Web of Conferences, 2021 DOI:10.1051/e3sconf/202125602001

[7]	Short-term photovoltaic power generation predicting by input/output structure of weather forecast using deep learning Soft Computing, 2021 DOI:10.1007/s00500-020-05199-7

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[9]	Multi-step ahead forecasting of global solar radiation for arid zones using deep learning Procedia Computer Science, 2020 DOI:10.1016/j.procs.2020.03.329

[10]	A Short-Term Power Output Forecasting Model Based on Correlation Analysis and ELM-LSTM for Distributed PV System Journal of Electrical and Computer Engineering, 2020 DOI:10.1155/2020/2051232

[11]	Multi-step ahead forecasting of global solar radiation for arid zones using deep learning Procedia Computer Science, 2020 DOI:10.1016/j.procs.2020.03.329

[12]	Multi-step ahead forecasting of global solar radiation for arid zones using deep learning Procedia Computer Science, 2020 DOI:10.1016/j.procs.2020.03.329

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[15]	Short-term ensemble forecast for purchased photovoltaic generation Solar Energy, 2017 DOI:10.1016/j.solener.2017.03.088

[16]	Predictive Models for Photovoltaic Electricity Production in Hot Weather Conditions Energies, 2017 DOI:10.3390/en10070971

[17]	Short term solar insolation prediction: P-ELM approach International Journal of Parallel, Emergent and Distributed Systems, 2017 DOI:10.1080/17445760.2017.1404601

[18]	Predictive Models for Photovoltaic Electricity Production in Hot Weather Conditions Energies, 2017 DOI:10.3390/en10070971

[19]	Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study 3rd International Symposium on Environmental Friendly Energies and Applications (EFEA), 2014 DOI:10.1109/EFEA.2014.7059971

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