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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2019-05
(Vol.33 No.05)
10.5207/JIEIE.2019.33.5.028
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References
1
Ko H. J. et al., 2016, he Status and Plan of Penetration of Electric Vehicle Charger in the Jeju Island, Proc. of the 2016 Korean Institute of Electrical Engineers, pp. 50-52
2
Shrestha S., 2016, Spatial-temporal stochasticity of electric vehicles in an integrated traffic and power system, M.Sc. Thesis, Electrical Engineering, South Dakota State University
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Heyman F., Pereira C., Miranda V., Soares F. J., 2017, Spatial load forecasting of electric vehicle charging using GIS and diffusion theory, Proc. of 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, pp. 1-6
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Mu Y., et al., 2014, A Spatial-Temporal model for grid impact analysis of plug-in electric vehicles, Int. Energy, Vol. 114, pp. 456-465
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Hess A., et al., 2012, Optimal deployment of charging stations for electric vehicular networks, Proc. of the first workshop on Urban networking, Vol. , No. , pp. 1-6
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Hur J., Park B., Jung S., 2016, The Development of the Wind Power Prediction System using Ordinary Kriging, Int. Journal of the Korean Institute of Illuminating and Electrical Installation Engineers, Vol. 30, No. 7
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Jung S., Hur J., Choy Y., Lee J., 2015, A Study on the Application of Spatial Prediction thorough the Correlation Analysis Model(CAM) of Wind Farm Outputs, Proc. of the Korean Institute of Electrical Engineers Power Engineering Society, pp. 16-18
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Choi J., 2007, Geostatistics, Sigmapress, pp. 134-207
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Jung S., Hur J., Choy Y., 2015, A Study on Wind Power Prediction model based on Spatial Modeling, Int. KEPCO Journal on Electric Power and Energy, Vol. 1, No. 1
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Stein M., 2012, Interpolation of spatial data: some theory for kriging, Springer Science & Business MEdia