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The Transactions of
the Korean Institute of Electrical Engineers
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ISSN : 1975-8359 (Print)
ISSN : 2287-4364 (Online)
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The Transactions of the Korean Institute of Electrical Engineers
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Trans. Korean. Inst. Elect. Eng.
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2021-08
(Vol.70 No.8)
10.5370/KIEE.2021.70.8.1102
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References
1
Chen Biaowei, Dec 2020, Very-Short-Term Power Prediction for PV Power Plants Using a Simple and Effective RCCLSTM Model Based on Short Term Multivariate Historical Datasets
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M. Rizwan, Sep 2017, Generalized Neural Network Approach for Global Solar Energy Estimation in India, [2012.07] Maria Malvon et al., “Forecasting of PV Power Generation using weather input data‐preprocessing techniques”
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Rodríguez Fermín, Mar 2018, Predicting solar energy generation through artificial neural networks using weather forecasts for microgrid control
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Ramaswamy Swaroop, 2017, Forecasting PV Power from Solar Irradiance and Temperature using Neural Networks
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Akylas C. Stratigakos, Oct 2019, A Suitable Flexibility Assessment Approach for the Pre-Screening Phase of Power System Planning Applied on the Greek Power System
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Soteris A. Kalogirou, 2014, Solar Energy Engineering
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Korea Meteorological Administration, Mar 2021, https://data.kma.go.kr/cmmn/main.do
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Public Data Portal, 2021, https://www.data.go.kr/data/15065368/fileData.do
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The Ministry of Trade, Industry and Energy, Dec 2020, The 9th Basic Plan for Long-Term Electricity Supply and Demand (2020–2034)
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National Statistics Portal, 2021, https://kosis.kr
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Korea Energy Economics Institute, 2015, Analysis of Efficient Power Supply and Demand Impact of Differential Rate System by Region
