Retraction Note: Soft computing methodologies for estimation of energy consumption in buildings with different envelope parameters
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Retraction Note: Energy Efficiency
The Editor-in-Chief has retracted this article (Naji et al. 2016a) because validity of the content of this article cannot be verified. This article showed evidence of substantial text overlap (most notably with the articles cited (Naji et al. 2014, 2016b; Akib et al. 2015)), peer review and authorship manipulation. None of the authors agree to this retraction.
- Naji, S., Shamshirband, S., Basser, H., Alengaram, U. J., Jumaat, M. Z., & Amirmojahedi, M. (2016a). RETRACTED ARTICLE: Soft computing methodologies for estimation of energy consumption in buildings with different envelope parameters. Energy Efficiency, 9, 435–453. https://doi.org/10.1007/s12053-015-9373-z.CrossRefGoogle Scholar
- Naji, S., Shamshirband, S., Basser, H., Keivani, A., Alengaram, U. J., Jumaat, M. Z., & Petković, D. (2016b). Application of adaptive neuro-fuzzy methodology for estimating building energy consumption. Renewable and Sustainable Energy Reviews, 53, 1520–1528. https://doi.org/10.1016/j.rser.2015.09.062.CrossRefGoogle Scholar
- Naji, S., Çelik, O. C., Alengaram, U. J., et al. (2014). Structure, energy and cost efficiency evaluation of three different lightweight construction systems used in low-rise residential buildings. Energy and Buildings, 84, 727–739. https://doi.org/10.1016/j.enbuild.2014.08.009.CrossRefGoogle Scholar