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Dr. Dennis Cheruiyot Kiplangat
Dr. Dennis Cheruiyot Kiplangat
Verified email at dkut.ac.ke - Homepage
Title
Cited by
Cited by
Year
Improved week-ahead predictions of wind speed using simple linear models with wavelet decomposition
DC Kiplangat, K Asokan, KS Kumar
Renewable energy 93, 38-44, 2016
962016
Tracing the evolution and charting the future of geothermal energy research and development
RV Rohit, DC Kiplangat, R Veena, R Jose, AP Pradeepkumar, KS Kumar
Renewable and Sustainable Energy Reviews 184, 113531, 2023
222023
Deterministic prediction of surface wind speed variations
GV Drisya, DC Kiplangat, K Asokan, K Satheesh Kumar
Annales Geophysicae 32 (11), 1415-1425, 2014
162014
Predictive models to evaluate the interaction effect of soil-tunnel interaction parameters on surface and subsurface settlement
SA Hassan, SM Shitote, DC Kiplangat
Civil Engineering Journal, 2022
122022
Assessment of Socio-Economic Gender Issues Affecting Women’s Participation in Alpine Tourism: A Case Study of Mt. Kenya National Park
C Kipchirchir, AJ Misiko, DC Kiplangat
African Journal of Tourism and Hospitality Management, 2024
2024
Prerequisites as a Deterrent of Adopting Food Safety Management Systems by Public Universities Catering Facilities in the Mount Kenya and Aberdare Regional Bloc
ME Mugure, LKM Mwenda, DC Kiplangat, PW Chege
European Journal of Agriculture and Food Sciences 5 (6), 33-38, 2023
2023
Customer Default Prediction in Lipa Pole Pole Model in Kenyan Business Enterprise
D Machariah, DC Kiplangat
Kirinyaga University 6th Annual International Conference, 2023, 2023
2023
Empirical estimation of return period and distribution of duration of wind speed exceedances
DC Kiplangat, K Asokan, GV Drisya, KS Kumar
2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 137-141, 2018
2018
Variation of wind speed distribution characteristics across Indian sub-continent
DC Kiplangat, GV Drisya, K Asokan, KS Kumar
International Journal of Computing Science and Mathematics 9 (6), 555-565, 2018
2018
Day-ahead prediction using time series partitioning with Auto-Regressive model
DC Kiplangat, GV Drisya, KS Kumar
arXiv preprint arXiv:2203.14910, 2016
2016
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