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

References

1 
Government of the Republic of Korea, Jul. 2020, The Korean New Deal National Strategy for a Great TransformationGoogle Search
2 
Korea Energy Agency, Sep. 2020, Renewable energy policy and RE100 domestic and international trendsGoogle Search
3 
Korea Power Exchange, Nov. 2020, Electricity Market RulesGoogle Search
4 
Korea Energy Agency, Nov. 2020, 2019 Renewable Energy Supply StatisticsGoogle Search
5 
Y. Wang, N. Zhang, Q. Chen, D. S. Kirschen, P. Li, Q. Xia, May 2018, Data-Driven Probabilistic Net Load Forecasting With High Penetration of Behind-the-Meter PV, IEEE Trans. on Power Systems, Vol. 33, No. 3, pp. 3255-3264DOI
6 
K. Li, F. Wang, Z. Mi, M. Fotuhi-Firuzabad, N. Duić, T. Wang, Nov 2019, Capacity and output power estimation approach of individual behind-the-meter distributed photovoltaic system for demand response baseline estimation, Applied Energy, Vol. 253DOI
7 
Korea Power Exchange, Jun. 2019, The Behind-the-Meter Solar Capa- city Estimation for 2019Google Search
8 
National Law Information Center, Jan. 2021, Enforcement Decree of Electric Utility ActGoogle Search
9 
D. Bae, B. Kwon, C. Moon, S. Woo, K. Song, Nov 2020, Short- Term Load Forecasting Algorithm on Weekdays consi- dering the Amount of Behind-The-Meter Generations, Journal of the Korean Institute of Illuminating and Electrical Installation Engineers 34(11), pp. 37-43Google Search
10 
Korea Meteorological Administration, Dec. 2020, “http://kma.go.kr/,”Google Search
11 
J. Liu, Y. Zhang, Q. Zhao, Nov 2019, Adaptive ViBe Algorithm Based on Pearson Correlation Coefficient, 2019 Chinese Automation Congress (CAC), pp. 4885-4889DOI
12 
S. Jo, B. Kwon, K. Song, Mar 2019, Day Ahead 24-Hours Load Forecasting Algorithm Using Latest Weather Forecasting, The Transaction of KIEE, Vol. 68, No. 3, pp. 416-422Google Search
13 
Itron, 2017, Improving Short-Term Load Forecasts by Incorporating Solar PV GenerationGoogle Search
14 
PJM, 2019, Improving Load Forecasting with Behind-the-Meter Solar ForecastingGoogle Search
15 
Korea Meteorological Administration, Dec.2020, Improving Load Forecasting with Behind-the-Meter Solar Forecasting, https://data.kma.go.kr/Google Search
16 
PJM, 2019, Improving Load Forecasting with Behind-the-Meter Solar ForecastingGoogle Search
17 
B. Kwon, R. Park, K. Song, Jul 2020, Short-Term Load Forecasting Based on Deep Neural Networks Using LSTM Layer, Journal of Electrical Engineering & Technology, Vol. 15, No. 4, pp. 1501-1509DOI