• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid

References

1 
Ministry of Trade, Industry and Energy, 2017, the Renewable Energy 3020 Implementation PlanGoogle Search
2 
Ministry of Trade, Industry and Energy, Dec. 2020., REPUBLIC OF KOREA: 9th Basic Plan for Power Supply and Demand (BPLE) (2020-2034)Google Search
3 
Ministry of Trade, Industry and Energy, June 2019., Third Energy Master PlanGoogle Search
4 
G. Zhang, June 2011, Functional Requirements of Next Generation Control Center Applications, Electric Power Research InstituteDOI
5 
The International Renewable Energy Agency(IRENA), Nov. 2018., POWER SYSTEM FLEXIBILITY FOR THE ENERGY TRANSITION PART 1: OVERVIEW FOR POLICY MAKERSGoogle Search
6 
G. G. Platero, M. G. Casado, M. P. García, P. J. Madero, D. A. Baeza, March 2022, CECRE: Supervision and Control of Spanish Renewable Energies in the Last 15 years, JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, Vol. 10, No. 2, pp. 269-276DOI
7 
Energy Duke, 2018, Control Center Helps Grow Renewable Energy, 2018 Sustainability ReportGoogle Search
8 
J. Baek, July 2017, Development of KEPCO- Renewable Energy Management System to improve penetration limit of renewable energy in Jeju network, The 50th KIEE Summer Conference 2017Google Search
9 
S. Yang, 2018, Jeju renewable integrated management demonstration center, Yonhapnews Imazine, pp. 256Google Search
10 
S. Choi, S. Park, J. Baek, 2021, Development of Local Renewable Management System, The Fall Conference for Society A 2021Google Search
11 
Korea Power Exchange, January 2022, The Electricity Market Operation Rule, pp. 739Google Search
12 
Korea Meteorological Administration, Numerical Weather Prediction(NWP), https://web.kma.go.kr/eng/biz/forecast_02.jspGoogle Search
13 
N.S.-N. Lam, October 1983, Spatial interpolation methods: A review, Cartography and Geographic Information Science, Vol. 10, No. 2, pp. 129-150DOI
14 
A Pankratz, October 1991, Forecasting with dynamic regression models, John Wiley and Sons, Cartography and Geographic Information ScienceGoogle Search
15 
Jing Bo, Qian Zheng, March 2021, Wind Turbine Power Curve Modelling with Logistic Functions Based on Quantile Regression, Applied Sciences, Vol. 11, No. 7DOI
16 
J. SMOLA ALEX, SCHOLKOPF BERNHARD, 2004, A tutorial on support vector regression, Statistical and Computing, Vol. 14, No. 199-222DOI
17 
T. Hastie, R. Tibshirani, J. Friedman, 2009, 10. Boosting and Additive Trees, The Elements of Statistical Learning (2nd ed.), Vol. new york: springer, pp. 377-384DOI
18 
Chen Tianqim, Guestrin Carlos, August 13-17, 2016, XGBoost: A Scalable Tree Boosting System, KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2016, Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, Vol. ACM, pp. 785-794DOI
19 
Soteris A. Kalogirou, 2013, Solar Energy Engineering Processes and Systems(2nd ed.), Academic PressGoogle Search
20 
Farzaneh Hooman, Dashti Mehrnoosh, al. et, June 2022, Assessing the Environmental-Health-Economic Co-Benefits from Solar Electricity and Thermal Heating in Ulaanbaatar, Mongolia, Int. J. Environ. Res. Public Health 2022, Vol. 19, No. 11, pp. 6931DOI
21 
Homer Energy, How homer calculates the PV array power output, Homer Energy Support. [Online], Available: https://www.homerenergy.com/support/docs/3.10/how_homer_calculates_the_pv_array_power_output.html.Google Search
22 
Cort J. Willmott, Matsuura Kenji, December 2005, Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance, Climate Research, Vol. 30, No. 1, pp. 79-82DOI
23 
Cort J. Willmott, Ackleson, September 1985, Statistics for the Evaluation and Comparison of Models, Journal of Geophysical Research Atmospheres, Vol. 90, No. C5DOI