KIEE - The Transactions of the Korean Institute of Electrical Engineers

IEC TC 1 Electropedia, http://www.electropedia.org/

Electronic Newspaper, 2017.03.05, Hangeul searches the world’s electronic standards...KATS has registered IEV Korean terms in ‘Elec- trophedia’

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2002, KIEE, Standard dictionary of electrical and electronics terms

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2011, KIEE, Dictionary of Smart Grid

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NIKL, Opendictionary, https://opendict.korean.go.kr/

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IEC TC 1, Instructions for IEV Electropedia

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2016, NIKL, Guidelines for writing terminologies

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Kumar Das Utpal, Soon Tey Kok, Seyedmahmoudian Mehdi, Mekhilef Saad, Yamani Idna Idris Moh, Van Deventer Willem, Horan Bend, Stojcevski Alex, 2018, Forecasting of photovoltaic power generation and model optimization: A review, Renewable and Sustainable Energy Reviews, Vol. 81, pp. 912-928

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Zhou Wei, Yang Hongxing, Fang Zhaohong, 2007, A novel model for photovoltaic array performance prediction, Applied Energy, Vol. 84, pp. 1187-1198

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Graditi Giorgio, ., Ferlito Sergio, Adinolfi Giovanna, Marco Tina Giuseppe, Ventura Cristina, 2016, Energy yield estimation of thin-film photovoltaic plants by using physical approach and artificial neural networks, Solar Energy, Vol. 130, pp. 232-243

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Ogliari Emanuele, Dolara Alberto, Manzolini Giampaolo, Leva Sonia, 2017, Physical and hybrid methods comparison for the day ahead PV output power forecast, Renewable Energy, Vol. 113, pp. 11-21

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Alfredo Fernandez-Jimenez L., Munoz-Jimenez Andres, Falces Alberto, Mendoza-Villena Montserrat, Garcia-Garrido Eduardo, M. Lara-Santillan Pedro, Zorzano-Alba Enrique, J. Zorzano-Santamaria Pedro, 2012, Short-term power forecasting system for photovoltaic plants, Renewable Energy, Vol. 44, pp. 311-317

13

Monteiro Claudio, Santos Tiago, Alfredo Fernandez- Jimenez L., J. Ramirez-Rosado Ignacio, Sonia Terreros-Olarte M., 2013, Short-Term Power Forecasting Model for Photovoltaic Plants Based on Historical Similarity, Energies, Vol. 6, pp. 2624-2643

14

Zhang Yue, Beaudin Marc, Taheri Raouf, Zareipour Hamidreza, Wood David, 2015, Day-Ahead Power Output Forecasting for Small-Scale Solar Photovoltaic Electricity Generators, IEEE Transactions on smart grid, Vol. 6, No. 5, pp. 2253-2262

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Trapero Juan R., Kourentzes Nikolaos, Martin A., 2015, Short-term solar irradiation forecasting based on Dynamic Harmonic Regression, Energy, Vol. 84, pp. 289-295

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Azimi R., Ghayekhloo M., Ghofrani M., 2016, A hybrid method based on a new clustering technique and multilayer perceptron neural networks for hourly solar radiation forecasting, Energy Conversion and Management, Vol. 118, pp. 331-344

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Jo Sekyung Han HyeonDeok, 2016, The development of the practical photovoltaic power prediction and renewal model, in The Proceedings of the KIEE Summer Annual Conference, pp. 1116-1117

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Chen Changsong, Duan Shanxu, Cai Tao, Liu Bangyin, 2011, Online 24-h solar power forecasting based on weather type classification using artificial neural network, Solar Energy, Vol. 85, pp. 2856-2870

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Shi Jie, Lee Wei-Jen, Liu Yongqian, Yang Yongping, Wang Peng, 2012, Forecasting Power Output of Photovoltaic Systems Based on Weather Classification and Support Vector Machines, IEEE Transactions on Industry Applications, Vol. 48, No. 3, pp. 1064-1069

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Pulipaka Subrahmanyam, Kumar Rajneesh, 2016, Power prediction of soiled PV module with neural networks using hybrid data clustering and division techniques, Solar Energy, Vol. 133, pp. 485-500

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A. Munshi Amr, A.-R. I. Mohamed Yasser, 2016, Photo- voltaic power pattern clustering based on conventional and swarm clustering methods, Solar Energy, Vol. 124, No. , pp. 39-56

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A. Munshi Amr, A.-R. I. Mohamed Yasser, 2017, Com- parisons among Bat algorithms with various objective functions on grouping photovoltaic power patterns, Solar Energy, Vol. 144, pp. 254-266

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Yang Xiuyuan, Xua Minglu, Xu Shouchen, Han Xiaojuan, 2017, Day-ahead forecasting of photovoltaic output power with similar cloud space fusion based on incomplete historical data mining, Applied Energy, Vol. 206, pp. 683-696

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Sing Lai Chun, Jia Youwei, D. McCulloch Malcolm, Xu Zhao, 2017, Daily Clearness Index Profiles Cluster Analysis for Photovoltaic System, IEEE Transactions on Industrial Informatics, Vol. 13, No. 5, pp. 2322-2332

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Liu Luyao, Zhao Yi, Chang Dongliang, Xie Jiyang, Ma Zhanyu, Sun Qie, Yin Hongyi, Wennersten Ronald, 2018, Prediction of short-term PV power output and uncertainty analysis, Applied Energy, Vol. 228, pp. 700-711

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Lin Peijie, Peng Zhouning, Lai Yunfeng, Cheng Shuying, Chen Zhicong, Wu Lijun, 2018, Short-term power prediction for photovoltaic power plants using a hybrid improved Kmeans-GRA-Elman model based on multivariate meteorological factors and historical power datasets, Energy Conversion and Management, Vol. 177, pp. 704-717

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Wang Qi, Ji Shunxiang, Hu Minqiang, Li Wei, Liu Fusuo, Zhu Ling, 2018, Short-Term Photovoltaic Power Generation Combination Forecasting Method Based on Similar Day and Cross Entropy Theory, International Journal of Photo- energy, Vol. 2018, No. article id 6973297, pp. 125-144

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Xu Zhenlei, Chen Zhicong, Zhou Haifang, Wu Lijun, Lin Peijie, Cheng Shuying, 2019, A short-term photovoltaic power forecasting model based on a radial basis function neural network and similar days, IOP Conf. Series: Earth and Environmental Science, Vol. 227, No. Article ID 022032

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Kim Kwang-Deuk, 2013, The development of the short-term predict model for solar power generation, Journal of the Korean Solar Energy Society, Vol. 33, No. 6, pp. 62-69

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Chun Gi-young, Han Yong, Song Sung-yoon, Park Joung-hu, 2014, Power estimation for stand-alone PV system using forecast information, in The Proceedings of the KIEE Spring Conference for Society B, Vol. , pp. 228-231

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Lee Keunho, Sonb Heung-gu, Kim Sahm, 2018, A study on solar energy forecasting based on time series models, The Korean Journal of Applied Statistics, Vol. 31, No. 1, pp. 139-153

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Marion B., 2008, Comparison of predictive models for Photovoltaic module performance, in Proc. of 33rd IEEE Photovoltaic Specialists Conference, pp. 1-6

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Bacher Peder, Madsen Henrik, Aalborg Nielsen Henrik, 2009, Online short-term solar power forecasting, Solar Energy, Vol. 83, pp. 1772-1783

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Ding Kun, Ye Zhen, Reindl Thomas, 2012, Comparison of parameterisation models for the estimation of the maximum power output of PV modules, Energy Procedia, Vol. 25, pp. 101-107

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G. Kardakos E., C. Alexiadis M., I. Vagropoulos S., K. Simoglou C., N. Biskas P., G. Bakirtzis A., 2013, Application of time series and artificial neural network models in short-term forecasting of PV power generation, in Proc. of 48th IEEE International Universities Power Engineering Conference (UPEC), Vol. , pp. 1-6

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Bouzerdoum M., Mellit A., Massi Pavan A., 2013, A hybrid model (SARIMA.SVM) for short-term power forecasting of a small-scale grid-connected photovoltaic plant, Solar Energy, Vol. 98, pp. 226-235

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Li Yanting, Su Yan, Shu Lianjie, 2014, An ARMAX model for forecasting the power output of a grid connected photovoltaic system, Renewable Energy, Vol. 66, pp. 78-89

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Chu Yinghao, Urquhart Bryan, M. I. Gohari Seyyed, T. C. Pedro Hugo, Kleissl Jan, F. M. Coimbra Carlos, 2015, Short-term reforecasting of power output from a 48 MWe solar PV plant, Solar Energy, Vol. 112, pp. 68-77

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Li Yanting, He Yong, Su Yan, Shu Lianjie, 2015, Forecasting the daily power output of a grid-connected photovoltaic system based on multivariate adaptive regression splines, Applied Energy, Vol. 180, pp. 392-401

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Gurtler a Marc, Paulsen Thomas, 2018, Forecasting performance of time series models on electricity spot markets, International Journal of Energy Sector Management, Vol. 12, No. 4, pp. 617-640

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Lee Chang-Sung, Ji Pyeong-Shik, 2015, Development of Daily PV Power Forecasting Models using ELM, The Transactions of the Korean Institute of Electrical Engineers, Vol. 64p, No. 3, pp. 164-168

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Lee Kanghuyk, Kim Woo-Je, 2016, Forecasting of 24_hours ahead photovoltaic power output using support vector regression, The Journal of Korean Institute of Information Technology, Vol. 14, No. 3, pp. 175-183

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Lee Hyunjin, 2016, The Development of the predict model for solar power generation based on current temperature data in restricted circumstances, Journal of Digital Contents Society, Vol. 17, No. 3, pp. 157-164

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Hong Jeseong, Park Jihoon, Kim Youngchul, 2018, Fault Prediction of Photovoltaic Monitoring System based on Power Generation Prediction Model, Journal of Platform Technology, Vol. 6, No. 2, pp. 19-25

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Mellit Adel, Massi Pavan Alessandro, 2010, A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy, Solar Energy, Vol. 84, pp. 807-821

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Mellit A., Massi Pavan A., Lughi V., 2014, Short-term forecasting of power production in a large-scale photovoltaic plant, Solar Energy, Vol. 105, pp. 401-413

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Zamo M., Mestre O., Arbogast P., Pannekoucke O., 2014, A benchmark of statistical regression methods for short-term forecasting of photovoltaic electricity production, part I: Deterministic forecast of hourly production, Solar Energy, Vol. 105, pp. 792-803

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Yang Hong-Tzer, Huang Chao-Ming, Huang Yann-Chang, Pai Yi-Shiang, 2014, A Weather-Based Hybrid Method for 1-Day Ahead Hourly Forecasting of PV Power Output, IEEE Transactions on Sustainable Energy, Vol. 5, No. 3, pp. 917-926

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Pulipaka Subrahmanyam, Kumar Rajneesh, 2016, Modeling of soiled PV module with neural networks and regression using particle size composition, Solar Energy, Vol. 123, pp. 116-126

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Leva S., Dolara A., Grimaccia F., Mussetta M., Ogliari E., 2017, Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power, Mathematics and Computers in Simulation, Vol. 131, pp. 88-100

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Zhang Weijiang, Dang Hongshe, Simoes Rolando, 2018, A new solar power output prediction based on hybrid forecast engine and decomposition model, ISA Transactions, Vol. 81, pp. 105-120

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Yun Da-Eun, Park Hyeong-Dong, Lee Sang-Nam, Kang Yong-Heack, 2017, Empirical analysis on the correlation between mono-crystalline Si photovoltaic module temperature and irradiance and ambient temperature in seoul area, Journal of Korean Society Mineral and Energy Resources Engineers, Vol. 54, No. 2, pp. 139-148

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KIEEThe Transactions ofthe Korean Institute of Electrical Engineers