Najeh Chaâbane
(Najeh Chaabane)

Personal Details

First Name:	Najeh
Middle Name:
Last Name:	Chaabane
Suffix:
RePEc Short-ID:	pch999
	[This author has chosen not to make the email address public]
Terminal Degree:	2006 Institut Supérieur de Gestion de Sousse; Université de Sousse (from RePEc Genealogy)

Affiliation

Faculté des Sciences Économiques et de Gestion de Sousse
Université de Sousse

Sousse, Tunisia
http://www.fdseps.rnu.tn/
RePEc:edi:fdseptn (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

1. Najeh Chaâbane, 2014. "A novel auto-regressive fractionally integrated moving average--least-squares support vector machine model for electricity spot prices prediction," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(3), pages 635-651, March.

   Cited by:

   1. Jiang, Ping & Nie, Ying & Wang, Jianzhou & Huang, Xiaojia, 2023. "Multivariable short-term electricity price forecasting using artificial intelligence and multi-input multi-output scheme," Energy Economics, Elsevier, vol. 117(C).
   2. Hongyue Guo & Xiaodong Liu & Zhubin Sun, 2016. "Multivariate time series prediction using a hybridization of VARMA models and Bayesian networks," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(16), pages 2897-2909, December.
   3. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
      • Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Technology.
   4. Ghimire, Sujan & Deo, Ravinesh C. & Casillas-Pérez, David & Salcedo-Sanz, Sancho, 2024. "Two-step deep learning framework with error compensation technique for short-term, half-hourly electricity price forecasting," Applied Energy, Elsevier, vol. 353(PA).

2. Najeh Chaâbane & Foued Saâdaoui & Saloua Benammou, 2012. "Modelling power spot prices in deregulated European energy markets: a dual long memory approach," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 14(4), pages 338-361.

   Cited by:

   1. Souhir Ben Amor & Heni Boubaker & Lotfi Belkacem, 2022. "A Dual Generalized Long Memory Modelling for Forecasting Electricity Spot Price: Neural Network and Wavelet Estimate," Papers 2204.08289, arXiv.org.
   2. Saâdaoui, Foued, 2018. "Testing for multifractality of Islamic stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 263-273.

More information

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Statistics

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Co-authorship network on CollEc

Corrections

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