Crossref
journal-article
Elsevier BV
Renewable Energy (78)
References
22
Referenced
92
10.1016/S0960-1481(99)00125-1
/ Renewable Energy / A comparison of various forecasting techniques applied to mean hourly wind speed time series by Sfetsos (2000)10.1109/60.556376
/ IEEE Transactions on Energy Conversion / Wind power forecasting using advanced neural networks models by Kariniotakis (1996)10.1016/S0038-092X(98)00032-2
/ Solar Energy / Short-term forecasting of wind speed and related electrical power by Alexiadis (1998)10.1016/j.neucom.2005.12.131
/ Neurocomputing / Short-term ANN load forecasting from limited data using generalization learning strategies by Chan (2006)10.1016/j.renene.2006.12.001
/ Renewable Energy / Application of artificial neural networks for the wind speed prediction of target station using reference stations data by Bilgili (2007)10.1016/j.renene.2007.06.013
/ Renewable Energy / Analysis of wind power generation and prediction using ANN: a case study by Mabel (2008)10.1016/j.rser.2007.01.015
/ Renewable and Sustainable Energy Reviews / A review on the young history of the wind power short-term prediction by Costa (2008)10.1016/j.renene.2007.01.014
/ Renewable Energy / Short term wind speed forecasting for wind turbine applications using linear prediction method by Riahy (2008)10.1016/j.renene.2006.10.005
/ Renewable Energy / Wind speed forecasting in the south coast of Oaxaca, México by Cadenas (2007)10.1016/j.ijforecast.2004.10.008
/ International Journal of Forecasting / A dynamic artificial neural network model for forecasting time series events by Ghiassi (2005)10.1016/j.ins.2004.10.005
/ Information Sciencies / Time-series forecasting using flexible neural tree model by Chen (2005)10.1016/j.ins.2007.06.015
/ Information Sciences / Neural network ensemble method with jittered training data for time series forecasting by Zhang (2007)10.1016/S0925-2312(01)00702-0
/ Neurocomputing / Time series forecasting using a hybrid ARIMA and neural network model by Zhang (2003)10.1016/j.fss.2007.10.011
/ Fuzzy Set and Systems / A new hybrid artificial neural networks and fuzzy regression model for time series forecasting by Khashei (2008)10.1016/S0377-2217(03)00360-6
/ European Journal of Operational Research / Exponential smoothing models: means an variances for lead-time demand by Snyder (2004)10.1016/j.ijforecast.2007.05.002
/ International Journal of Forecasting / Exponential smoothing in the telecommunications data by Gardner (2008){'key': '10.1016/j.renene.2009.10.037_bib17', 'article-title': 'A review on the forecasting of wind speed an generated power', 'author': 'Lei', 'year': '2008', 'journal-title': 'Renewable and Sustainable Energy Reviews'}
/ Renewable and Sustainable Energy Reviews / A review on the forecasting of wind speed an generated power by Lei (2008)10.1016/j.energy.2007.07.010
/ Energy / Practical ways of evaluating wind speed persistence by Koçak (2008)10.1016/j.ijforecast.2006.03.005
/ International Journal of Forecasting / Exponetial smoothing: the state of art – part II by Gardner (2006){'key': '10.1016/j.renene.2009.10.037_bib20', 'author': 'Instituto de'}
by Instituto de10.1016/j.renene.2004.02.001
/ Renewable Energy / Wind speed analysis in La Ventosa, Mexico: a bimodal probability distribution case by Jaramillo (2004)10.1016/j.renene.2004.03.004
/ Renewable Energy / Wind power potential of Baja California Sur, México by Jaramillo (2004)
Dates
Type | When |
---|---|
Created | 15 years, 9 months ago (Nov. 15, 2009, 11:41 p.m.) |
Deposited | 6 years, 8 months ago (Dec. 14, 2018, 11:27 p.m.) |
Indexed | 3 weeks ago (Aug. 6, 2025, 8:53 a.m.) |
Issued | 15 years, 3 months ago (May 1, 2010) |
Published | 15 years, 3 months ago (May 1, 2010) |
Published Print | 15 years, 3 months ago (May 1, 2010) |
@article{Cadenas_2010, title={Analysis and forecasting of wind velocity in chetumal, quintana roo, using the single exponential smoothing method}, volume={35}, ISSN={0960-1481}, url={http://dx.doi.org/10.1016/j.renene.2009.10.037}, DOI={10.1016/j.renene.2009.10.037}, number={5}, journal={Renewable Energy}, publisher={Elsevier BV}, author={Cadenas, E. and Jaramillo, O.A. and Rivera, W.}, year={2010}, month=may, pages={925–930} }