Wind Speed Intervals Prediction using Meta-cognitive Approach
نویسندگان
چکیده
منابع مشابه
Mycielski approach for wind speed prediction
Wind speed modeling and prediction plays a critical role in wind related engineering studies. However, since the data have random behavior, it is difficult to apply statistical approaches with apriori and deterministic parameters. On the other hand, wind speed data have an important feature; extreme transitions from a wind state to a far different one are rare. Therefore, behavioral modeling is...
متن کاملWind Speed Prediction Using Artificial Neural Networks
A multilayered artificial neural network has been used for predicting the mean monthly wind speed in regions of Cyprus where data are not available. Data for the period 1986-1996 have been used to train a neural network, whereas data for the year 1997 were used for validation. Both learning and prediction were performed with adequate accuracy. Two network architectures of the similar type have ...
متن کاملMulti - objective Genetic Algorithm Optimization of a Neural Network for Estimating Wind Speed Prediction Intervals
— In this work, the non-dominated sorting genetic algorithm–II (NSGA-II) is applied to determine the weights of a neural network trained for short-term forecasting of wind speed. More precisely, the neural network is trained to produce the lower and upper bounds of the prediction intervals of wind speed. The objectives driving the search for the optimal values of the neural network weights are ...
متن کاملWind Speed and Power Prediction Using Artificial Neural Networks
Short-term wind prediction over different time steps is vital for wind farms in operation for various applications. Considering the complexity of atmospheric processes governing wind, time series models are preferred over physical models for wind prediction. Artificial neural networks (ANNs), which perform a non-linear mapping between inputs and outputs, provide an alternative approach for wind...
متن کاملWind Speed Modeling and Prediction Using Artificial Intelligent Methods
In the recent years there is a lot of research happening to predict wind speed with several mathematical methods and biologically inspired computing techniques to reduce the prediction error. A new strategy in wind speed prediction is proposed in this paper and the Adaptive Neuro-Fuzzy Inference System (ANFIS) is applied to forecast the speed of wind. ANFIS can forecast very well of the next va...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2018
ISSN: 1877-0509
DOI: 10.1016/j.procs.2018.10.501