JIEIE
Journal of the Korean Institute of Illuminating
and Electrical Installation Engineers
KIIEE
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ISSN : 1229-4691 (Print)
ISSN : 2287-5034 (Online)
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Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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J Korean Inst. IIIum. Electr. Install. Eng.
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2019-12
(Vol.33 No.12)
10.5207/JIEIE.2019.33.12.021
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References
1
Min D. K., Ryu J. H., Choi D. G., 2019, Evaluating the Effects of Korea’s Nuclear & Coal Phase-out and Renewable Energy Shift on the Power System Reliability, Korea Energy Economic Review, Vol. 17, No. 1, pp. 1-35
2
Bae Y. H., 2018, Experiences and Prospects of New and Renewable Energy in Korea, KSCE magazine, Vol. 66, No. 3, pp. 18-21
3
Lee K. J., Park J. M., Park J. A., 2019, Implementation of an Adaptive EMS System Based on Solar Power Generation and Power Demand Pattern, JKIIT, Vol. 17, No. 1, pp. 53-62
4
Han S. K., Kim E. J., 2019, A Study on the Impact Analysis of Power Demand for ESS and SmartGrid, Trans. Korean. Inst. Elect. Eng., Vol. 68p, No. 2, pp. 100-105
5
Yu S. J., Lee A. G., Beak J. S., Cha D. J., Kim J. C., 2018, "Study on ESS Operation Plan for Energy Reduction in Industrial Customer, Trans. Korean. Inst. Elect. Eng, Vol. 67, No. 9, pp. 1152-1158
6
Oh B. C., Kim S. Y., 2019, "Development of SVR based Short-term Load Forecasting Algorithm, Trans. Korean. Inst. Elect. Eng, Vol. 68p, No. 2, pp. 95-99
7
Lee J. H., Oh S. J., Yoon Y. C., Ahn Y. H., Kim J. S., et al. , 2019, Analysis of Time Series to Support Decision Making on V2G Using Energy Consumption Data, JKDISS, Vol. 30, No. 2, pp. 401-414
8
Lee D. G., Kim S. H., Jung H. C., Sun Y. G., Sim I. S., et al. , 2019, Power Consumption Prediction Scheme Based on Deep Learning for Powerline Communication Systems, Journal of IKEEE, Vol. 22, No. 3, pp. 822-828
9
Ahn J. Y., Park S. M., Kim C. B., 2019, A Study on Neural Network Model for Winter Electric Power Demand Prediction, JKIIT, Vol. 15, No. 9, pp. 1-9
10
Yoon T. S., Shim K. S., 2012, K-means Clustering for Handling High-dimensional Large Data, KIISE Trans. Computing Practices, Vol. 18, No. 1, pp. 55-59