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The Transactions of
the Korean Institute of Electrical Engineers
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ISSN : 1975-8359 (Print)
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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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2022-09
(Vol.71 No.9)
10.5370/KIEE.2022.71.9.1201
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References
1
J. Lin, F. H. Magnago, 2017, Electricity Markets Theories and Applications
2
P. Donsion, 2016, Renewable Energy: Selected Issues
3
D. W. Edwards, 2017, Energy Trading & Investing: Trading, Risk Management and Structuring Deals in the Energy Markets
4
Ji-Young Eum, Yong-Ki Kim, 2019, Economical Analysis of the PV-linked Residential ESS using HOMER in Korea
5
D. S. Kirschen, G. Strbac, 2004, Power System Economics
6
T. Hong, 2010, Short term electric load forecasting
7
Sejun Park, Hyunjin Kim, Duehee Lee, 2021, Probabilistic Electricity Load Forecasting Algorithm Based on the Gradient Boosting Machine and Laplace Distribution
8
Hyun-jin Lee, 2016, Use of the Moving Average of the Current Weather Data for the Solar Power Generation Amount Prediction
9
Seongmi Park, Chanwoo Oh, Sejun Park, Balho Kim, Duehee Lee, 2022, Optimal Distribution Investment Plan Based on the New Value Based Distribution System Reliability Assessment using Reliability Index
10
A. J. Wood, B. F. Wollenberg, G. B. Sheble, 2013, Power Generation, Operation, and Control
11
Yukseltan Ergun, Yucekaya Ahmat, Humeyra Bilge Ayse, 2020.09., Hourly electricity demand forecasting using Fourier analysis with feedback
12
S. Weisberg, 1980, Applied Linear Regression
13
A. Wang, L. Xu, J. Xing, K. Liu, Y. Liang, Z. Zhou, 2021.10., Random-forest based adjusting method for wind forecast of WRF model
14
J. Xie, T. Hong, 2016, Temperature scenario generation for probabilistic load forecasting
15
Y. W. Lee, K. G. Tay, Y. Y. Choy, 2018, Forecasting electricity consumption using time series model
16
M. Baek, D.H. Lee, 2017, Spatial and Temporal Day-Ahead Total Daily Solar Irradiation Forecasting: Ensemble Forecasting Based on the Empirical Biasing
17
2014, AMS 2013-2014 Solar Energy Prediction Contest, Kaggle
18
Choi Seung Yong, Han Kun Yeun, Kim Byung Hyun, 2012, Comparison of Different Multiple Linear Regression Model for Real-time Flood Stage Forecasting
19
Dong-Ha Shin, Jun-Ho Park, Chang-Bok Kim, 2017, Photvoltaic Generation Forecasting Using Weather Forecast and Predictive Sunshine and Radiation
20
Ji-Yoon Kim, Hun-Seok Lee, Jin-Seok Oh, 2020, Study on prediction of ship’s power using light GBM and XGBoost
21
Yurim Lee, Hyunjin Kim, Dahan Lee, Chaijung Lee, Duhee Lee, 2019, Validation of Forecasting Performance of Two-Stage Probabilistic Solar Irradiation and Solar Power Forecasting Algorithm using XGBoost