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Statistical analysis of wind energy

                in wind direction and speed. Integrating wind energy   4.  International  Energy Agency.  Africa  Energy  Outlook
                with complementary renewable sources, such as solar     2022. Paris, France: IEA; 2022.
                power, could enhance energy reliability and supply for   5.  Agence  Pour Le  Développement  Des Energies
                rural  electrification.  Moreover,  economic  feasibility   Renouvelables  (ADER) Et Ministère  Du Pétrole  Et
                studies and detailed spatial resource mapping will be   De l’Énergie  Du  Tchad.  Plan  Général D’action  Des
                crucial for designing effective, sustainable wind energy   Energies Renouvelables 2017-2030. N’Djaména, Tchad:
                                                                        ADER; 2017.
                systems in Mongo and other similar regions.         6.  Tchinda R, Kendjio J, Kaptouom E, Njomo D. Estimation
                                                                        of mean wind energy available in far north Cameroon.
                Acknowledgments                                         Energy Convers Manage. 2000;41(17):1917-1929.
                                                                        doi: 10.1016/S0196-8904(00)00017-0
                None.                                               7.  United  Nations Environment  Programme.  Renewable
                                                                        Energy Law and Policy  Review:  Selected  African
                Funding                                                 Countries. Nairobi, Kenya: UNEP; 2019.
                                                                    8.  Kassem Y, Çamur H, Abughinda SAM, Şefik A. Wind
                None.                                                   energy potential  assessment in selected  regions in
                                                                        northern cyprus based on weibull distribution function.
                Conflict of interest                                    J Eng Appl Sci. 2020;15(1):128-140.
                                                                        doi: 10.3923/jeasci.2020.128.140
                The  authors  declare  that  they  have  no competing   9.  Akpinar EK, Akpinar S. A  statistical  analysis of wind
                interests.                                              speed data used in installation of wind energy conversion
                                                                        systems. Energy Convers Manage. 2005;46(4):515-532.
                                                                        doi: 10.1016/j.enconman.2004.07.007
                Author contributions                                10.  Ahmed Shata  AS, Hanitsch R. Evaluation  of wind
                                                                        energy  potential  and  electricity  generation  on  the
                Conceptualization: Ali Sidick Bahar, Adoum Kriga, Ali   coast of Mediterranean  Sea in Egypt.  Renew Energy.
                   Ramadan Ali                                          2006;31:1183-1202.
                Data curation: Adoum Kriga, Adoum Danao Adile           doi: 10.1016/j.renene.2005.07.012
                Formal analysis: Ali Ramadan Ali, Fabien Kenmogne   11.  Celik  AN. Statistical  analysis of wind power density
                Methodology: Ali Sidick Bahar, Adoum Kriga              based on the Weibull and Rayleigh models at the southern
                Writing – original draft: Fabien Kenmogne               region of Turkey. Renew Energy. 2004;29:593-604.
                Writing – review & editing: All authors                 doi: 10.1016/j.renene.2003.07.001
                                                                    12.  Carta JA, Ramirez  P,  Velazquez S. A  review of wind
                Availability of data                                    speed  probability  distributions  used  in  wind  energy
                                                                        analysis:  Case studies in the Canary Islands.  Renew
                                                                        Sustain Energy Rev. 2009;13(5):933-955.
                All data  generated  or analyzed  during this study are      doi: 10.1016/j.rser.2008.02.008
                included in this published article.                 13.  Zhou J, Erdem E, Li G, Shi J. Comprehensive
                                                                        evaluation  of  wind speed  distribution  models:  A  case
                References                                              study for North Dakota sites. Energy Convers Manage.
                                                                        2010;51:1449-1458.
                1.  Nediguina MK, Tahir AM, Barka M, Soulouknga MH,      doi: 10.1016/j.enconman.2010.01.005
                   Nsouandele JL. Evaluation  of the wind power     14.  Chellali F, Khellaf A, Belouchrani A, Khanniche R. A
                   potential  in the northeast of Chad.  J  Renew Energies.   comparison  between wind speed distributions  derived
                   2022;25(1):109-126.                                  from  the  maximum  entropy  principle  and  Weibull
                   doi: 10.54966/jreen.v25i1.1075                       distribution. Case of study; six regions of Algeria. Renew
                2.  Soulouknga MH, Oyedepo SO, Doka SY, Kofané TC.      Sustain Energy Rev. 2012;16(1):379-385.
                   Assessment  of wind energy potential  in the Sudanese      doi: 10.1016/j.rser.2011.08.002
                   zone in Chad. Energy Power Eng. 2017;9(7):386-402.  15.  Li M, Li X. Investigation  of wind characteristics  and
                   doi: 10.4236/epe.2017.97026                          assessment of wind energy potential  for  Waterloo
                3.  Ouedraogo AO, Doka SY, Revanna N, Djongyang N,      Region, Canada.  Energy Convers Manage. 2005;46:
                   Kofané  TC.  Analysis of wind speed data  and wind   3014-3033.
                   energy potential  in  faya-largeau,  chad,  using weibull      doi: 10.1016/j.enconman.2005.02.011
                   distribution. Renew Energy. 2018;121:1-8.        16.  Okorie OC, Ajayi NO, Bamisile OS, et al. Evaluating
                   doi: 10.1016/j.renene.2018.01.002                    wind energy resources for remote communities in West



                Volume 22 Issue 6 (2025)                        57                           doi: 10.36922/AJWEP025070039
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