Journal ArticleDOI
Statistical characteristics of wind in Saudi Arabia
Shafiqur Rehman,T.O. Halawani +1 more
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TLDR
In this paper, the statistical characteristics of wind at 10 locations in the Kingdom of Saudi Arabia are studied and the autocorrelation coefficients are computed and correlograms are found compatible with the real diurnal variation of mean wind speed for almost all the locations.About:
This article is published in Renewable Energy.The article was published on 1994-11-01. It has received 83 citations till now. The article focuses on the topics: Wind speed & Time series.read more
Citations
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Journal ArticleDOI
Support vector machines for wind speed prediction
TL;DR: This paper introduces support vector machines (SVM), the latest neural network algorithm, to wind speed prediction and compares their performance with the multilayer perceptron (MLP) neural networks.
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A neural networks approach for wind speed prediction
TL;DR: The results on a testing data indicate that the neural network approach outperforms the AR model as indicated by the prediction graph and by the root mean square errors.
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Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS)
TL;DR: In this article, a clustering algorithm based neuro-fuzzy method was proposed to find wind speed profile up to height of 100 m based on knowledge of wind speed at heights 10, 20, 30, 40 m.
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Estimating wind speed distribution
TL;DR: In this paper, the scale and shape parameters were estimated using three methods, the Chi-square method, method of moments and regression method, which gave the best overall fit to the distribution of the wind data.
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Techno-economical study of hybrid power system for a remote village in Algeria
TL;DR: In this article, the authors presented a techno-economic assessment for off-grid hybrid generation systems of a site in south western Algeria, where the HOMER model was used to evaluate the energy production, life-cycle costs and greenhouse gas emissions reduction.
References
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Book
Time series analysis, forecasting and control
TL;DR: In this article, a complete revision of a classic, seminal, and authoritative book that has been the model for most books on the topic written since 1970 is presented, focusing on practical techniques throughout, rather than a rigorous mathematical treatment of the subject.
Journal ArticleDOI
Time Series Analysis Forecasting and Control
TL;DR: This revision of a classic, seminal, and authoritative book explores the building of stochastic models for time series and their use in important areas of application forecasting, model specification, estimation, and checking, transfer function modeling of dynamic relationships, modeling the effects of intervention events, and process control.
Journal ArticleDOI
Methods for Estimating Wind Speed Frequency Distributions.
TL;DR: In this article, the Weibull function is used for representation of the wind speed frequency distribution and methods for estimating the two Weibbull parameters (scale factor c and shape factor k) from simple wind statistics are presented.
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Weibull parameters for wind speed distribution in Saudi Arabia
TL;DR: In this article, the shape and scale parameters of a Weibull density distribution function were calculated for 10 locations in Saudi Arabia and the daily mean wind speed data from 1970 to mid-1990 were used for this purpose.
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Probability models of wind velocity magnitude and persistence
TL;DR: In this paper, the authors used hourly wind data from the National Climatic Center (NCC) to study probability density functions of wind velocity and wind power and run duration persistence.