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

References

1 
X. Wang, Y. Yu, L. Lin, 2020, Tweeting the United Nations Climate Change Conference in Paris (COP21): An analysis of a social network and factors determining the network influence, Online Social Networks and Media, Vol. 15DOI
2 
H. T. Kim, S. S. Jhang, 2018, Key Technologies for Stabilization of Power System for Successful Achievement of 3020 Renewable Energy Policy, KIEE, Vol. 67, No. 2, pp. 144-157DOI
3 
C. Zhang, X. Zhao, M. Shahidehpour, W. Li, L. Wen, Z. Yang, Feb 2020, Reliability Assessment of Coordinated Urban Transportation and Power Distribution Systems Considering the Impact of Charging Lots, IEEE, Vol. 8, pp. 30536-30547DOI
4 
V. Khare, S. Nema, May 2019, Reliability analysis of hybrid renewable energy system by fault tree analysis, Energy & Environmental, Vol. 30, pp. 542-555DOI
5 
K. H. Kim, R. J. Park, S. W. Jo, K. B. Song, 2017, 24-Hour Load Forecasting Algorithm Using Artificial Neural Network in Summer Wekdays, Journal of the Korean Instiute of Iluminating and Electrical Instalation Enginers, Vol. 31, No. 12, pp. 13-19Google Search
6 
S. Y. Park, J. H. Bang, I. H. Ryu, T. H. Kim, 2019, The Prediction of Photovoltaic Power Using Regression Models Based on Weather Big-data and Sensing Data, KIEE, Vol. 68, No. 12, pp. 1662-1668Google Search
7 
N. Sharma, P. Sharma, D. Irwin, P. Shenoy, 2011, Predicting Solar Generation from Weather Forecasts Using Machine Learning, in Proc. of 2011 IEEE International Conference on Smart Grid Communications (Smart-GridComm), IEEE, pp. 528-533DOI
8 
J. Han, J. Baek, 2010, The Load Forecasting in Summer Considering Day Factor, The Transactions of KAIS, Vol. 1, No. 8, pp. 2793-280DOI
9 
D. Kim, H. J. Jo, M. S. Kim, J. H. Roh, J. B. Park, 2019, Short-Term Load Forecasting Based on Deep Learning Model, KIEE, Vol. vol 68, No. 9, pp. 1094-1099Google Search
10 
H. S. Tak, T. Y. Kim, H. G. Cho, H. J. Kim, Nov 2016, A New Prediction Model for Power Consumption with Local Weather Information, Journal of The Korea Contents Association, Vol. 16, No. 11, pp. 488-498DOI
11 
K. H. Jo, M. K. Kim, Mar 2018, Stochastic Unit Commitment Based on Multi-Scenario Tree Method Considering Uncertainty, Energies, Vol. 11, No. 740DOI
12 
I. N. Silva, D. H. Spatti, R. A. Flauzino, 2017, Artificial Neural Networks, SpringerGoogle Search
13 
K. Greff, R. K. Srivastava, J. Koutnik, B. R. Steunebrink, J. Schmidhuber, Jul 2016, LSTM: A Search Space Odyssey, IEEE, Vol. 28, No. 10DOI
14 
S. Youli, K. Nagasaka, Jan 2010, Monte Carlo Simulation Method Used in Reliability Evaluation of a Laboratory- based Micro Grid, IEEEGoogle Search
15 
K. Krishna, M. N. Murty, Jun 1999, Genetic K-means algorithm, IEEE, Vol. 29, No. 3DOI
16 
D. N. Trakas, N. D. Hatziargyriou, M. Panteli, P. Mancarella, Feb 2017, A severity risk index for high impact low probability events in transmission systems due to extreme weather, IEEEDOI