Reconstructing long-term wind speed data based on measure correlate predict method for micro-grid planning

2021 ◽  
Author(s):  
Masoud Salehi Borujeni ◽  
Abbas Dideban ◽  
Asghar Akbari Foroud
Keyword(s):  
Wind Speed ◽  
Wind Speed Data ◽  
Micro Grid ◽  
Grid Planning

Verifying Meteorological Station Wind Speed Data for Long-Term Resource Studies: The MIA Luqa Wind Databases at Malta

2013 ◽  
Vol 37 (6) ◽  
pp. 605-616 ◽  
Author(s):  
L. Mayor Salgado ◽  
R.N. Farrugia ◽  
C. Galdies ◽  
T. Sant
Keyword(s):  
Wind Speed ◽  
Meteorological Station ◽  
Wind Speed Data

scholarly journals Artificial Intelligence Techniques for Estimation of Optimum Weibull Parameters for Wind Speed Distribution

2019 ◽  
Vol 8 (4S2) ◽  
pp. 150-156
Keyword(s):  
Wind Speed ◽  
Tamil Nadu ◽  
Optimization Algorithms ◽  
Coefficient Of Determination ◽  
Short Term ◽  
Weibull Parameters ◽  
Wind Speed Data ◽  
Speed Distribution ◽  
Wind Speed Distribution

The main objective of this study is to estimate the optimum Weibull scale and shape parameters for wind speed distribution at three stations of the state of Tamil Nadu, India using Nelder-Mead, Broyden–Fletcher–Goldfarb–Shanno, and Simulated annealing optimization algorithms. An attempt has been made for the first time to apply these optimization algorithms to determine the optimum parameters. The study was conducted for long term wind speed data (38 years), short term wind speed data (5 years) and also with single year’s wind speed data to assess the performance of the algorithm for different quantum of data. The efficiency of these algorithms are analyzed using various statistical indicators like Root mean square error (RMSE), Correlation coefficient (R), Mean absolute error (MAE) and coefficient of determination (R2). The results suggest that the performance of three algorithms is similar irrespective of the quantum of the dataset. The estimated Weibull parameters are almost similar for short term and long term dataset. There is a marginal variation in the obtained parameters when only single year’s wind data is considered for the analysis. The Weibull probability distribution curve fits very well on the wind speed histogram when only single year’s wind speed data is considered and fits marginally well when short term and long term wind speed data is considered

scholarly journals A Basic Wind Speed Map for Oman

2014 ◽  
Vol 11 (2) ◽  
pp. 64
Author(s):  
A.S. Alnuaimi ◽  
M.A. Mohsin ◽  
K.H. Al-Riyami
Keyword(s):  
Wind Speed ◽  
Return Period ◽  
Structural Design ◽  
Short Term ◽  
Wind Speed Data ◽  
Wind Speeds ◽  
Mean Wind Speed

The aim of this research was to develop the first basic wind speed map for Oman. Hourly mean wind speed records from 40 metrological stations were used in the calculation. The period of continuous records ranged from 4–37 years. The maximum monthly hourly mean and the maxima annual hourly mean wind speed data were analysed using the Gumbel and Gringorten methods. Both methods gave close results in determining basic wind speeds, with the Gumbel method giving slightly higher values. Due to a lack of long-term records in some regions of Oman, basic wind speeds were extrapolated for some stations with only short-term records, which were defined as those with only 4– 8 years of continuous records; in these cases, monthly maxima were used to predict the long-term basic wind speeds. Accordingly, a basic wind speed map was developed for a 50-year return period. This map was based on basic wind speeds calculated from actual annual maxima records of 29 stations with at least 9 continuous years of records as well as predicted annual maxima wind speeds for 11 short-term record stations. The basic wind speed values ranged from 16 meters/second (m/s) to 31 m/s. The basic wind speed map developed in this research is recommended for use as a guide for structural design in Oman. 

Detection of Long-Term Instabilities on Altimeter Backscatter Coefficient Thanks to Wind Speed Data Comparisons from Altimeters and Models

2012 ◽  
Vol 35 (sup1) ◽  
pp. 258-275 ◽  
Author(s):  
M. Ablain ◽  
S. Philipps ◽  
M. Urvoy ◽  
N. Tran ◽  
N. Picot
Keyword(s):  
Wind Speed ◽  
Backscatter Coefficient ◽  
Wind Speed Data

Regionalization of wind-speed data to analyse tree-line wind conditions in the eastern Andes of southern Ecuador

Erdkunde ◽  
2015 ◽  
Vol 69 (1) ◽  
pp. 3-19 ◽  
Author(s):  
Julia Wagemann ◽  
Boris Thies ◽  
Rütger Rollenbeck ◽  
Thorsten Peters ◽  
Jörg Bendix
Keyword(s):  
Wind Speed ◽  
Tree Line ◽  
Wind Speed Data ◽  
Southern Ecuador

scholarly journals Long-term correlations and cross-correlations in wind speed and solar radiation temporal series from Fernando de Noronha Island, Brazil

2015 ◽  
Vol 424 ◽  
pp. 90-96 ◽  
Author(s):  
Priscilla Sales dos Anjos ◽  
Antonio Samuel Alves da Silva ◽  
Borko Stošić ◽  
Tatijana Stošić
Keyword(s):  
Wind Speed ◽  
Solar Radiation ◽  
Temporal Series ◽  
Fernando De Noronha ◽  
Cross Correlations
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