Add to ORKGThe aim of this work present a comprehensive exploration of machine learning models and compare their performance for wind speed prediction. The prediction is based on variables from atmospheric reanalysis data from a specific wind farm located in Spain as predictive inputs for the system
The ability to estimate wind speed accurately is crucial for optimizing the utilization of wind ener...
AbstractA major challenge in meteorology is the forecasting of winds owing to their highly chaotic n...
Wind speed forecast is a topic broadly researched in the present day. Its importance in the design a...
The aim of this work present a comprehensive exploration of machine learning models and compare thei...
International audienceThe relationship between the wind speed derived from the outputs of a numerica...
The increasing amount of intermittant wind energy sources connected to the power grid present severa...
Wind energy, which is clean, inexhaustible and free, has been used to mitigate the crisis of convent...
The quality of wind data from the numerical weather prediction significantly influences the accuracy...
Many countries have devoted a lot of attention in the use of renewable energy sources to ensure the...
High variability of wind in the farm areas causes a drastic instability in the energy markets. There...
We study short-term prediction of wind speed and wind power (every 10 minutes up to 4 hours ahead). ...
This paper has been presented at: 14th IFIP International Conference on Artificial Intelligence Appl...
Since wind is a fluctuating resource, the integration of wind energy into the electricity grid neces...
The precise prediction of windspeed is essential in order to improve and optimize wind power predict...
Wind Energy generation depends on the existence of wind, a meteorological phenomena intermittent by ...
The ability to estimate wind speed accurately is crucial for optimizing the utilization of wind ener...
AbstractA major challenge in meteorology is the forecasting of winds owing to their highly chaotic n...
Wind speed forecast is a topic broadly researched in the present day. Its importance in the design a...
The aim of this work present a comprehensive exploration of machine learning models and compare thei...
International audienceThe relationship between the wind speed derived from the outputs of a numerica...
The increasing amount of intermittant wind energy sources connected to the power grid present severa...
Wind energy, which is clean, inexhaustible and free, has been used to mitigate the crisis of convent...
The quality of wind data from the numerical weather prediction significantly influences the accuracy...
Many countries have devoted a lot of attention in the use of renewable energy sources to ensure the...
High variability of wind in the farm areas causes a drastic instability in the energy markets. There...
We study short-term prediction of wind speed and wind power (every 10 minutes up to 4 hours ahead). ...
This paper has been presented at: 14th IFIP International Conference on Artificial Intelligence Appl...
Since wind is a fluctuating resource, the integration of wind energy into the electricity grid neces...
The precise prediction of windspeed is essential in order to improve and optimize wind power predict...
Wind Energy generation depends on the existence of wind, a meteorological phenomena intermittent by ...
The ability to estimate wind speed accurately is crucial for optimizing the utilization of wind ener...
AbstractA major challenge in meteorology is the forecasting of winds owing to their highly chaotic n...
Wind speed forecast is a topic broadly researched in the present day. Its importance in the design a...