@article{(Open Science Index):https://publications.waset.org/pdf/11986,
	  title     = {Transformer Top-Oil Temperature Modeling and Simulation},
	  author    = {T. C. B. N. Assunção and  J. L. Silvino and  P. Resende},
	  country	= {},
	  institution	= {},
	  abstract     = {The winding hot-spot temperature is one of the most
critical parameters that affect the useful life of the power
transformers. The winding hot-spot temperature can be calculated as
function of the top-oil temperature that can estimated by using the
ambient temperature and transformer loading measured data. This
paper proposes the estimation of the top-oil temperature by using a
method based on Least Squares Support Vector Machines approach.
The estimated top-oil temperature is compared with measured data of
a power transformer in operation. The results are also compared with
methods based on the IEEE Standard C57.91-1995/2000 and
Artificial Neural Networks. It is shown that the Least Squares
Support Vector Machines approach presents better performance than
the methods based in the IEEE Standard C57.91-1995/2000 and
artificial neural networks.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {10},
	  year      = {2008},
	  pages     = {3580 - 3585},
	  ee        = {https://publications.waset.org/pdf/11986},
	  url   	= {https://publications.waset.org/vol/22},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 22, 2008},