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

ISSN Print: 2151-481X
ISSN Online: 2151-4844
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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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[6]	Multi-step ahead forecasting of global solar radiation for arid zones using deep learning
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[7]	A Short-Term Power Output Forecasting Model Based on Correlation Analysis and ELM-LSTM for Distributed PV System
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[8]	Prediction of Short and Long-term PV Power Generation in Specific Regions using Actual Converter Output Data
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[9]	Short-Term Line Maintenance Scheduling of Distribution Network with PV Penetration Considering Uncertainties
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[10]	Review on Application of Artificial Intelligence in Photovoltaic Output Prediction
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[11]	Short term forecast model for solar power generation using RNN-LSTM
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[12]	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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[13]	Forecasting of Short Term Photovoltaic Generation by Various Input Model in Supervised Learning
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[14]	Solar Power Generation Forecast Based on LSTM
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[15]	Photovoltaic Generation Forecasting Using Weather Forecast and Predictive Sunshine and Radiation
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[16]	Short-term ensemble forecast for purchased photovoltaic generation
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[17]	Predictive models for photovoltaic electricity production in hot weather conditions
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[18]	Predicting the energy production by solar photovoltaic systems in cold-climate regions
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[19]	Short term solar insolation prediction: P-ELM approach
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[20]	SHORT-TERM WIND SPEED PREDICTION USING SUPERVISED MACHINE LEARNING TECHNIQUES
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[21]	A comparative study of the stochastic models and harmonically coupled stochastic models in the analysis and forecasting of solar radiation data
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[22]	Predicting Solar Radiation for Renewable Energy Technologies—A Random Forest Approach
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[23]	Solar Irradiation Data Measurement Analysing Techniques
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[24]	PREDICTING SOLAR RADIATION FOR RENEWABLE ENERGY TECHNOLOGIES: ARandom FOREST APPROACH
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[25]	Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study
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[1]	Assessing Critical Data Types for Deep Leaming-Based PV Generation Forecasting 2023 IEEE Belgrade PowerTech, 2023 DOI:10.1109/PowerTech55446.2023.10202973

[2]	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

[3]	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

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

[5]	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

[6]	Photovoltaic output prediction of regional energy Internet based on LSTM algorithm Journal of Physics: Conference Series, 2021 DOI:10.1088/1742-6596/1732/1/012083

[7]	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

[8]	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

[9]	Short-Term Line Maintenance Scheduling of Distribution Network With PV Penetration Considering Uncertainties IEEE Access, 2018 DOI:10.1109/ACCESS.2018.2838082

[10]	Smart Computing and Communication Lecture Notes in Computer Science, 2018 DOI:10.1007/978-3-030-05755-8_28

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

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

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

[14]	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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