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Nabeela Asghar Khan

Personal Details

First Name:Nabeela
Middle Name:Asghar
Last Name:Khan
Suffix:
RePEc Short-ID:pkh226
[This author has chosen not to make the email address public]

Affiliation

Department of economics,Government College University Faisalabad

http://gcuf.edu.pk/
Faisalabad

Research output

as
Jump to: Articles

Articles

  1. M Suresh & N A Khan, 2011. "Trends and Tax Buoyancy in Corporation Tax in Pre- and Post-Liberalization Periods in India," The IUP Journal of Public Finance, IUP Publications, vol. 0(2), pages 44-59, May.
  2. Khan, N. & Abas, N., 2011. "Comparative study of energy saving light sources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 296-309, January.
  3. McLachlan, G. J. & Khan, N., 2004. "On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples," Journal of Multivariate Analysis, Elsevier, vol. 90(1), pages 90-105, July.

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. Khan, N. & Abas, N., 2011. "Comparative study of energy saving light sources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 296-309, January.

    Cited by:

    1. Ahn, Byung-Lip & Jang, Cheol-Yong & Leigh, Seung-Bok & Yoo, Seunghwan & Jeong, Hakgeun, 2014. "Effect of LED lighting on the cooling and heating loads in office buildings," Applied Energy, Elsevier, vol. 113(C), pages 1484-1489.
    2. Kalair, A. & Abas, N. & Kalair, A.R. & Saleem, Z. & Khan, N., 2017. "Review of harmonic analysis, modeling and mitigation techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1152-1187.
    3. Azcarate, I. & Gutierrez, J.J. & Lazkano, A. & Saiz, P. & Redondo, K. & Leturiondo, L.A., 2016. "Towards limiting the sensitivity of energy-efficient lighting to voltage fluctuations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1384-1395.
    4. Beccali, Marco & Ciulla, Giuseppina & Lo Brano, Valerio & Galatioto, Alessandra & Bonomolo, Marina, 2017. "Artificial neural network decision support tool for assessment of the energy performance and the refurbishment actions for the non-residential building stock in Southern Italy," Energy, Elsevier, vol. 137(C), pages 1201-1218.
    5. Fabio Fantozzi & Francesco Leccese & Giacomo Salvadori & Michele Rocca & Marco Garofalo, 2016. "LED Lighting for Indoor Sports Facilities: Can Its Use Be Considered as Sustainable Solution from a Techno-Economic Standpoint?," Sustainability, MDPI, Open Access Journal, vol. 8(7), pages 1-13, June.
    6. Trianni, Andrea & Cagno, Enrico & De Donatis, Alessio, 2014. "A framework to characterize energy efficiency measures," Applied Energy, Elsevier, vol. 118(C), pages 207-220.
    7. Nardelli, Andrei & Deuschle, Eduardo & de Azevedo, Leticia Dalpaz & Pessoa, João Lorenço Novaes & Ghisi, Enedir, 2017. "Assessment of Light Emitting Diodes technology for general lighting: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 368-379.
    8. Ortega, R. & Figueres, E. & Garcerá, G. & Trujillo, C.L. & Velasco, D., 2012. "Control techniques for reduction of the total harmonic distortion in voltage applied to a single-phase inverter with nonlinear loads: Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1754-1761.
    9. Berry, Stephen & Davidson, Kathryn, 2016. "Improving the economics of building energy code change: A review of the inputs and assumptions of economic models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 157-166.
    10. Timma, Lelde & Bazbauers, Gatis & Bariss, Uldis & Blumberga, Andra & Blumberga, Dagnija, 2017. "Energy efficiency policy analysis using socio-technical approach and system dynamics. Case study of lighting in Latvia's households," Energy Policy, Elsevier, vol. 109(C), pages 545-554.
    11. Memon, Mudasir Ahmed & Mekhilef, Saad & Mubin, Marizan & Aamir, Muhammad, 2018. "Selective harmonic elimination in inverters using bio-inspired intelligent algorithms for renewable energy conversion applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2235-2253.
    12. Francesco Leccese & Viola Vandelanotte & Giacomo Salvadori & Michele Rocca, 2015. "Blue Light Hazard and Risk Group Classification of 8 W LED Tubes, Replacing Fluorescent Tubes, through Optical Radiation Measurements," Sustainability, MDPI, Open Access Journal, vol. 7(10), pages 1-15, September.
    13. Santiago, I. & López-Rodríguez, M.A. & Gil-de-Castro, A. & Moreno-Munoz, A. & Luna-Rodríguez, J.J., 2013. "Energy consumption of audiovisual devices in the residential sector: Economic impact of harmonic losses," Energy, Elsevier, vol. 60(C), pages 292-301.
    14. Khorasanizadeh, Hasti & Parkkinen, Jussi & Parthiban, Rajendran & David Moore, Joel, 2015. "Energy and economic benefits of LED adoption in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 629-637.
    15. Ruparathna, Rajeev & Hewage, Kasun & Sadiq, Rehan, 2016. "Improving the energy efficiency of the existing building stock: A critical review of commercial and institutional buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1032-1045.

  2. McLachlan, G. J. & Khan, N., 2004. "On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples," Journal of Multivariate Analysis, Elsevier, vol. 90(1), pages 90-105, July.

    Cited by:

    1. Polymenis, Athanase, 2014. "A combined likelihood ratio/information ratio bootstrap technique for estimating the number of components in finite mixtures," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 107-115.
    2. Mark Chiang & Boris Mirkin, 2010. "Intelligent Choice of the Number of Clusters in K-Means Clustering: An Experimental Study with Different Cluster Spreads," Journal of Classification, Springer;The Classification Society, vol. 27(1), pages 3-40, March.
    3. Wong, Tony Siu Tung & Li, Wai Keung, 2014. "Test for homogeneity in gamma mixture models using likelihood ratio," Computational Statistics & Data Analysis, Elsevier, vol. 70(C), pages 127-137.

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