Add to ORKGThis thesis is a work in the field of machine learning and data mining that adopts unsupervised learning to automate the process of weather forecasting, applied in this specific scope to sail racing, to be used during the Olympic Games of Tokyo 2020
The wind speed prediction is very important for wind resource assessment, renewable energy integrati...
The paper investigates an approach consisting of data mining techniques namely, rule extraction and ...
The quality of wind data from the numerical weather prediction significantly influences the accuracy...
This thesis is a work in the field of machine learning and data mining that adopts unsupervised lear...
Meteorologists refer to repeating weather conditions as a weather pattern. A weather pattern is char...
The following master thesis is the product of the work carried out during the Erasmus exchange of th...
This present work is carried out during my ERASMUS exchange for the year 2019-2020 between Clermont ...
he impact of environmental and meteorological conditions when dealing with sport performance has bee...
Environmental conditions affect outdoor sports performance. This is particularly true in some sports...
In this paper, we performed an analysis of the 500 most relevant scientific articles published since...
Daily wind patterns and their relational associations with other metocean (oceanographic and meteoro...
AbstractA major challenge in meteorology is the forecasting of winds owing to their highly chaotic n...
Assessment of climate change impacts on wind characteristics is crucial for the design, operation, a...
The Olympics is a major international sporting events which has two aspects of competition namely su...
High variability of wind in the farm areas causes a drastic instability in the energy markets. There...
The wind speed prediction is very important for wind resource assessment, renewable energy integrati...
The paper investigates an approach consisting of data mining techniques namely, rule extraction and ...
The quality of wind data from the numerical weather prediction significantly influences the accuracy...
This thesis is a work in the field of machine learning and data mining that adopts unsupervised lear...
Meteorologists refer to repeating weather conditions as a weather pattern. A weather pattern is char...
The following master thesis is the product of the work carried out during the Erasmus exchange of th...
This present work is carried out during my ERASMUS exchange for the year 2019-2020 between Clermont ...
he impact of environmental and meteorological conditions when dealing with sport performance has bee...
Environmental conditions affect outdoor sports performance. This is particularly true in some sports...
In this paper, we performed an analysis of the 500 most relevant scientific articles published since...
Daily wind patterns and their relational associations with other metocean (oceanographic and meteoro...
AbstractA major challenge in meteorology is the forecasting of winds owing to their highly chaotic n...
Assessment of climate change impacts on wind characteristics is crucial for the design, operation, a...
The Olympics is a major international sporting events which has two aspects of competition namely su...
High variability of wind in the farm areas causes a drastic instability in the energy markets. There...
The wind speed prediction is very important for wind resource assessment, renewable energy integrati...
The paper investigates an approach consisting of data mining techniques namely, rule extraction and ...
The quality of wind data from the numerical weather prediction significantly influences the accuracy...