References
[1]. D. Saxena, S.N. Singh and K.S. Verma, (2010).
Application of computational intelligence in emerging
power systems. International Journal of Engineering,
Science and Technology, Vol. 2, No. 3, 2010, pp. 1-7.
[2]. D.C. Park, M.A. El-Sharkawi, R.J. Marks , L.E. Atlas and
M.J. Damborg, (1991). Electric Load Forecasting Using An
Artificial Neural Network IEEE Transactions on Power
Systems, Vo1.6, No. 2, May 1991.
[3]. Dharmendra Kumar Mishra, A.K.D. Dwivedi, S.P.
Tripathi, (2012). Efficient Algorithms for Load Forecasting
in Electric Power System using Artificial Neural Network
International Journal of Latest Research in Science and
Technology. ISSN (Online):2278-5299 Vol.1,Issue 3:
pp.254-258 ,September-October (2012).
[4]. K. Y. Lee, Y. T. Cha and J. H. Park, (1992). Short- Term
Load Forecasting using an Artificial Neural Network,
Transactions on Power Systems, Vol. 7. No. 1, February
1992.
[5]. J. Jasni and M.Z. A AB Kadir, (2011). Static Power
System Security Assessment via Artificial Neural Network
Journal of Theoretical and Applied Information
Technology, 30th September 2011. Vol. 31 No.2.
[6]. I. S. Saeha, b, M. W. Mustafaa, (2014). Artificial Neural
Network for Power System Static Security Assessment: A
Survey. 66:1 (2014) 35–41 www.jurnalteknologi.utm.my
eISSN 2180–3722.
[7]. Bidyut Ranjan Das and Dr. Ashish Chaturvedi, (2013).
Static Security analysis in Real time using ANN”, IOSR
Journal of Electrical and Electronics Engineering (IOSRJEEE)
e-ISSN: 2278-1676 Volume 5, Issue 1 (Mar. - Apr.
2013), PP 50-54.
[8]. Kusum Verma and K. R. Niazi, (2012). Contingency
“Constrained Power System Security Assessment using
Cascade Neural Network”, J. Electrical Systems Vol.8,
No.1 (2012): 1-12Regular paper.
[9]. Po-Hung Chen and Hung-Cheng Chen, (2006).
Application of Evolutionary Neural Network to Power
System Unit Commitment ISBN 2006, LNCS 3972, pp. 1296
– 1303, 2006. © Springer-Verlag Berlin Heidelberg 2006.
[10]. R. Nayak and J. D. Sharma. A Hybrid Neural Network
and Simulated Annealing Approach to the Unit
Commitment Problem Machine Learning, Research
Centre1 School of Comp. Science, QUT Brisbane, QLD
4001, Australia University, of Roorkee, Roorkee, UP 247667,
India.
[11]. Aejaz Ahmed K.R1, Mohd. Z. A. Ansari, Mohamed
Jalaluddin, (2013). “Simulation Analysis of a Power System
Protection using Artificial Neural Network”, International
[12]. M.M. Saha E. Rosolowski J. Izykowski Artificial
Intelligent Application to Power System Protection
Substation Automation Division ABB Automation Products
AB SE-721 59 Västerås, SWEDEN.
[13]. K C P Wong, H M Ryan, J Tindle. Power System Fault
Prediction Using Artificial Neural Networks.
[14]. Eisa Bashier M Tayeb. “Faults Detection in Power
Systems Using Artificial Neural Network”, American Journal
of Engineering Research (AJER) e-ISSN : 2320-0847 p-ISSN
: 2320-0936 Volume-02, Issue-06, pp-69-75.
[15]. Worawat Nakawiro and István Erlich, (2008). Online
Voltage Stability Monitoring using Artificial Neural
Network, DRPT2008 6-9 April 2008 Nanjing China.
[16]. Ayman Hoballah, IEEE Transient Stability Assessment
using ANN Considering Power System Topology Changes.
[17]. Swetha G C and H.R. Sudarshana Reddy, (2007).
International Journal of Advanced Research in Electrical,
Electronics and Instrumentation Engineering, Vol. 3, Issue
3, March 2014 Copyright to IJAREEIE www.ijareeie.com
7993.
[18]. H Nagaraja Udupa , Dr.(Prof.) R. Kamath , Ms. Minal
and Ms. Thoshi Mishra, (2014). Node Level ANN technique
for Real Time Power System State estimation. International
Journal of Scientific & Engineering Research, Volume 5,
Issue 1, January-2014, 1500 ISSN 2229-5518.
[19]. Amamihe Onwuachumba, Yunhui Wu1 and
Mohamad Musavi, (2014). Reduced Model for Power
System State Estimation Using Artificial Neural Networks.
Journal of Energy and Power Engineering 8 (2014)
pp.957-965.
[20]. U. Arumugam, N. M. Nor, and M. F. Abdullah, (2011).
A Brief Review on Advances of Harmonic State Estimation
Techniques in Power Systems. International Journal of
Information and Electronics Engineering, Vol. 1, No. 3,
November 2011.
