Statistical analysis of wind speed and direction in Cyprus

Climate change and its impact on water resources is the problem of the times. Therefore, this study is concerned with the subject of climate change and its impact on the water ration of the grape harvest in Diyala Governorate. The study was based on the data of the Khanaqin climate station for the period 1973-2017, (1986-2017) due to lack of data at governorate level. The general trend of the elements of the climate and its effect on the water formula was extracted. The equation of change was extracted for the duration of the study. The statistical analysis was also used between the elements of the climate (actual brightness, normal temperature, micro and maximum degrees Celsius, wind speed m / s, relative humidity% The results of the statistical analysis confirm that the water ration for the study area is based mainly on the X7 evaporation / netting variable, which is affected by a set of independent variables X1 Solar Brightness X4 X5 Extreme Temperature Wind Speed 3X Minimal Temperature and Very High Level .

Download Full-text

Statistical Analysis of Weather Effects on PM2.5

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.610-613.1033 ◽

2012 ◽

Vol 610-613 ◽

pp. 1033-1040

Author(s):

Wei Dai ◽

Jia Qi Gao ◽

Bo Wang ◽

Feng Ouyang

Keyword(s):

Statistical Analysis ◽

Wind Speed ◽

Relative Humidity ◽

Statistical Methods ◽

Predictive Analytics ◽

Hypothesis Test ◽

Meteorological Data ◽

Weather Conditions ◽

Statistical Distribution ◽

Weather Effects

Effects of weather conditions including temperature, relative humidity, wind speed, wind and direction on PM2.5 were studied using statistical methods. PM2.5 samples were collected during the summer and the winter in a suburb of Shenzhen. Then, correlations, hypothesis test and statistical distribution of PM2.5 and meteorological data were analyzed with IBM SPSS predictive analytics software. Seasonal and daily variations of PM2.5 have been found and these mainly resulted from the weather effects.

Download Full-text

Wind Speed Statistical Analysis and Energy Assessment for Pulau Triso, Sarawak, Malaysia

10.1109/gecost52368.2021.9538687 ◽

2021 ◽

Author(s):

Chi Hung Chong ◽

Andrew Ragai Henry Rigit

Keyword(s):

Statistical Analysis ◽

Wind Speed ◽

Energy Assessment

Download Full-text

Analysis of possibilities to improve quality of spatial wind speed forecasts for efficient forecasting of electric energy production in onshore wind farms in Poland

E3S Web of Conferences ◽

10.1051/e3sconf/20198401001 ◽

2019 ◽

Vol 84 ◽

pp. 01001

Author(s):

Paweł Piotrowski ◽

Dariusz Baczyński ◽

Marcin Kopyt ◽

Karolina Szafranek

Keyword(s):

Statistical Analysis ◽

Wind Speed ◽

Energy Production ◽

Meteorological Data ◽

Electric Energy ◽

Wind Farms ◽

Bilinear Method ◽

Explanatory Variables ◽

Forecasting Methods

The most important factor responsible for the quality of energy production forecasts in wind farms is the accurate wind speed forecast. An extensive statistical analysis of meteorological data (NWP) from 16 base nodes of the "300" grid in the "Łódź" area was made. The intention of the statistical analysis was to select potential explanatory variables for models predicting wind speed in the remaining 206 nodes of the grid’s mesh. Next, tests of selected prognostic methods were performed in order to compare their effectiveness with bilinear method which is not computationally complex. It should be emphasized that the main problem in spatial wind speed forecasting is the very large number of nodes for which the forecasts are calculated. As a consequence, more advanced and computationally complex forecasting methods cannot be applied in practice due to too long calculations time and difficulties in huge amounts of data processing. Conclusions with proposals of preferred forecasting methods that could be used in practice were developed.

Download Full-text