Short term load forecasting based on feature extraction and improved general regression neural network model
Sign Up to like & getrecommendations! Published in 2019 at "Energy"
DOI: 10.1016/j.energy.2018.10.119
Abstract: Along with the deregulation of electric power market as well as aggregation of renewable resources, short term load forecasting (STLF) has become more and more momentous. However, it is a hard task due to various… read more here.
Keywords: term load; load forecasting; load; short term ... See more keywords
Application of general regression neural network to model a novel integrated fluidized bed gasifier
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Hydrogen Energy"
DOI: 10.1016/j.ijhydene.2018.01.130
Abstract: Abstract In order to better understand gasification performance, a general regression neural network (GRNN) was developed to model a novel integrated fluidized bed (IFB) gasifier to research the correlative relationship between the input and output… read more here.
Keywords: model novel; regression neural; regression; model ... See more keywords
Tabu Search algorithm based general regression neural network for long term wind speed predictions
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DOI: 10.1080/00051144.2020.1811571
Abstract: Accurate prediction of wind speed is needed as the wind power directly depends upon the wind speed. Because of the complex non-stationary and nonlinear characteristics of wind speed, it is difficult to achieve good prediction… read more here.
Keywords: algorithm; tabu search; speed; wind speed ... See more keywords
Gain of power of the general regression model compared to Cochran-Armitage Trend tests: simulation study and application to bipolar disorder
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DOI: 10.1186/s12863-017-0486-6
Abstract: BackgroundMost genome-wide association studies assumed an additive model of inheritance which may result in significant loss of power when there is a strong departure from additivity. The General Regression Model (GRM), which allows performing an… read more here.
Keywords: power; association; model; cat ... See more keywords
Power load forecasting of general regression neural network based on particle swarm optimization
Sign Up to like & getrecommendations! Published in 2018 at "Chemical engineering transactions"
DOI: 10.3303/cet1866223
Abstract: To study the power load forecasting optimization of general regression neural network using particle swarm optimization. Refer to the domestic and foreign literature, The paper refers to domestic and foreign literature, by comparing the GRNN… read more here.
Keywords: regression neural; load forecasting; optimization; power load ... See more keywords