@article {5041,
	title = {Smart algorithm based on the optimization of SVR technique by k-NNR method for the prognosis of the open-circuit and the reversed polarity faults in a PV generator},
	journal = {IREMOS  International Review on Modelling and Simulations..  5197 DOI: https://doi.org/10.15866/iremos.},
	volume = {Vol 8 },
	number = { issue 1},
	year = {2015},
	pages = {18-25},
	abstract = {This paper deals with a new smart algorithm allowing open-circuit and reversed polarity faults prognosis in photovoltaic generators. Its contribution lies on the optimization of support vector regression (SVR) technique by a k-NN regression tool (k-NNR) for undetermined outputs. To testing the performance of the proposed algorithm, we used a significant data base containing the generator functioning history, and as indicators we selected variance, standard deviation, Confidence interval, absolute and relative errors.},
	url = {https://hal.archives-ouvertes.fr/hal-01154195/document},
	author = {Rezgui Wail and Mouss Nadia Kinza and Mouss Leila Hayet and Mouss Med Djamel and Amirat Yassine and Benbouzid Mohamed}
}
