[PDF][PDF] Application of artificial neural networks in weather forecasting: a comprehensive literature review
G Shrivastava, S Karmakar, MK Kowar… - International Journal of …, 2012 - academia.edu
To recognize application of Artificial Neural Networks (ANNs) in weather forecasting,
especially in rainfall forecasting a comprehensive literature review from 1923 to 2012 is …
especially in rainfall forecasting a comprehensive literature review from 1923 to 2012 is …
Short-term wind speed forecasting using artificial neural networks for Tehran, Iran
F Fazelpour, N Tarashkar, MA Rosen - International Journal of Energy and …, 2016 - Springer
Wind energy is increasingly being utilized globally, in part as it is a renewable and
environmental-friendly energy source. The uncertainty caused by the discontinuous nature …
environmental-friendly energy source. The uncertainty caused by the discontinuous nature …
Providing a comprehensive understanding of missing data imputation processes in evapotranspiration-related research: a systematic literature review
This study aimed to review the existing research focalizing on the missing data imputation
techniques for the systems enabling actual evapotranspiration calculation (such as eddy …
techniques for the systems enabling actual evapotranspiration calculation (such as eddy …
Short-term wind power prediction based on Hybrid Neural Network and chaotic shark smell optimization
By the quick growth of wind power generation in the world, this clean energy becomes an
important green electrical source in many countries. However, volatile and non-dispatchable …
important green electrical source in many countries. However, volatile and non-dispatchable …
Fuzzy wavelet neural network based on fuzzy clustering and gradient techniques for time series prediction
RH Abiyev - Neural Computing and Applications, 2011 - Springer
This paper presents the development of fuzzy wavelet neural network system for time series
prediction that combines the advantages of fuzzy systems and wavelet neural network. The …
prediction that combines the advantages of fuzzy systems and wavelet neural network. The …
Co-active neuro-fuzzy inference system model as single imputation approach for non-monotone pattern of missing data
Data imputation aims to solve missing values problem which is common in nowadays
applications. Many techniques have been proposed to solve this problem from statistical …
applications. Many techniques have been proposed to solve this problem from statistical …
Wind speed forecasting: Present status
A number of wind speed forecasting techniques are available in order to predict the
uncertainty of the wind, which is key to estimate wind power generation availability for the …
uncertainty of the wind, which is key to estimate wind power generation availability for the …
Wind speed forecasting methods for wind energy generation
S Tiwari - 2022 1st international conference on informatics (ici), 2022 - ieeexplore.ieee.org
To estimate the wind's uncertainty, a plethora of wind speed estimators are available, this is
crucial for estimating the grid's wind energy production availability. Various approaches to …
crucial for estimating the grid's wind energy production availability. Various approaches to …
Wind speed forecasting using reptree and bagging methods in Kirklareli-Turkey
In this study, an analysis was performed by examining the wind power potential of Kırklareli
province which is in the west of Turkey. Statistical data between 2001 and 2007 was used in …
province which is in the west of Turkey. Statistical data between 2001 and 2007 was used in …
Computational intelligence in weather forecasting: A review
NO Bushara, A Abraham - Journal of Network and Innovative …, 2013 - cspub-jnic.org
Since 1990s, computational intelligence models have been widely used in several
applications of weather forecasting. Thanks to their ability to have powerful pattern …
applications of weather forecasting. Thanks to their ability to have powerful pattern …