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

The Transactions of the Korean Institute of Electrical Engineers

ISO Journal TitleTrans. Korean. Inst. Elect. Eng.
SCImago Journal & Country Rank

Journal Search

  1. Home
  2. Archive
  3. 2022-04 (Vol.71 No.4)
  4. 10.5370/KIEE.2022.71.4.555
XML PDF INFO REF

References

1 
A. K. Marvasti, Y. Fu, S. DorMohammadi, M. Rais-Rohani, May 2014, Optimal Operation of Active Distribution Grids: A System of Systems Framework, IEEE Transactions on Smart Grid, Vol. 5, No. 3, pp. 1228-1237DOI
2 
V. F. Martins, C. L. T. Borges, 2011, Active Distribution Network Integrated Planning Incorporating Distributed Generation and Load Response Uncertainties, IEEE Transactions on Power Systems, Vol. 26, No. 4, pp. 2164-2172DOI
3 
S. Shankar, K.B. Yadav, A. Priyadarshi, V. Rathore, 2021, Study of Phasor Measurement Unit and Its Applications. In: Gupta O.H., Sood V.K. (eds) Recent Advances in Power Systems, Lecture Notes in Electrical EngineeringDOI
4 
Emile Dusabimana, Sung-Guk Yoon, 2020, A Survey on the Micro-Phasor Measurement Unit in Distribution Networks, Electronics, Vol. 9, No. 2, pp. 305DOI
5 
Kyung-Min Lee, Chul-Won Park, 2020, Big Data Analysis of PMU for Power Quality Review of Renewable Energy Sources in Gangwon Area, Journal of the Korean Institute of Illuminating and Electrical Installation Engineers, Vol. 34, No. 5, pp. 18-23DOI
6 
S. Dasgupta, M. Paramasivam, U. Vaidya, V. Ajjarapu, 2013, Real-Time Monitoring of Short-Term Voltage Stability Using PMU Data, IEEE Transactions on Power Systems, Vol. 28, No. 4, pp. 3702-3711DOI
7 
Y. Zhou, R. Arghandeh, I. Konstantakopoulos, S. Abdullah, A. von Meier, C. J. Spanos, 2016, Abnormal event detection with high resolution micro-PMU data, 2016 Power Systems Computation Conference (PSCC), pp. 1-7DOI
8 
A. Aligholian, A. Shahsavari, E. Cortez, E. Stewart, H. Mohsenian-Rad, 2020, Event Detection in Micro-PMU Data: A Generative Adversarial Network Scoring Method, 2020 IEEE Power & Energy Society General Meeting (PESGM), pp. 1-5DOI
9 
A. Aligholian, A. Shahsavari, E. M. Stewart, E. Cortez, H. Mohsenian-Rad, 2021, Unsupervised Event Detection, Clustering, and Use Case Exposition in Micro-PMU Measurements, IEEE Transactions on Smart Grid, Vol. 12, No. 4, pp. 3624-3636DOI
10 
Kyung-Min Lee, Chul-Won Park, 2021, A PMU Big Data based New Systematic Phenomenon Identification of RES using Deep Neural Network, Trans. Korean. Inst. Elect. Eng., Vol. 70, No. 1, pp. 045-050Google Search
11 
Sung-Bum Kang, Baekkyeong Ko, Su-Chul NAM, Yong-Do Cho, Yonghak Kim, 2019, Development of Classification Model of Power System Fault by Using PMU Big-Data, Trans. Korean. Inst. Elect. Eng., Vol. 68, No. 9, pp. 1079-1084Google Search
12 
Ian J. Goodfellow, Pouget-Abadie Jean , Mirza Mehdi , Xu Bing , Warde-Farley David , Ozair Sherjil , Courville Aaron , 2014, Generative Adversarial Nets, Part of Advances in Neural Information Processing Systems 27, Vol. NIPSGoogle Search
13 
Q. Wu, Y. Chen, J. Meng, 2020, DCGAN-Based Data Augmentation for Tomato Leaf Disease Identification, IEEE Access, Vol. 8, pp. 98716-98728DOI
14 
J. Feng, X. Feng, J. Chen, X. Cao, X. Zhang, L. Jiao, 2020, Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification, Remote Sens, Vol. 12, No. 7, pp. 1149DOI
15 
Alec Radford, 2016, Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks, CoRR abs / 1511.06434DOI
16 
V. Dumoulin, F. Visin, 2016, A guide to convolution arithmetic for deep learning, arXiv:1603.07285 [stat.ML]DOI
17 
S. Gopal Krishna Patro, Kishore Kumar Sahu., 2015, Normalization: A Preprocessing Stage, arXiv:1503.06462 [cs.OH]DOI
18 
Inoue Atsushi, Jin Lu, Rossi Barbara, 2017, Rolling window selection for out-of-sample forecasting with time-varying parameters, Journal of Econometrics, Vol. 196, No. 1, pp. 55-67DOI
19 
N.B.G. Brinkel, M.K. Gerritsma, T.A. AlSkaif, I. Lampropoulos, A.M. van Voorden, H.A. Fidder, W.G.J.H.M. van Sark, 2020, Impact of rapid PV fluctuations on power quality in the low-voltage grid and mitigation strategies using electric vehicles, International Journal of Electrical Power & Energy Systems, Vol. 118, No. 105741DOI
20 
P. Khaledian, A. Aligholian, H. Mohsenian-Rad, 2021, Event-Based Analysis of Solar Power Distribution Feeder Using Micro-PMU Measurements, 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), pp. 1-5DOI