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Toplam kayıt 92, listelenen: 1-10
Hourly Forecasting of Long Term Electric Energy Demand Using Novel Mathematical Models and Neural Networks
(Icic Int, 2011)
In this work, hourly forecasting of long term electric energy demand is achieved using mathematical models and Artificial Neural Network (ANN) approaches. Previous works regarding energy demand forecasting either treated ...
Neural and mathematical modeling approaches for hourly long term loadforecasting
(2009)
In this work, a mathematical model and an Artificial Neural Network (ANN)approach are constructed for the hourly forecasting of long term electric energydemand. Unlike former studies, these methods produce long term load ...
Detection of disturbances in energy system signals using gaussian distribution fitness test [Enerji Sisitemi Sinyallerinde Bozucularin Gauss Dagilim Uyumlulugu Testi ile Tespiti]
(2004)
In this work, a method based on higher order statistics (HOS) is proposed to detect disturbances in energy system voltage and current waveforms due to faults and various system events. During the normal operation of the ...
A 2D representation for analysis and coding of power quality events
(IEEE, 2003)
In this work, we demonstrate examples about uses of practical image processing techniques over a new interpretation of power quality event data. Power quality event data are 1D data obtained from a real life system with ...
A novel 2-d model approach for the prediction of hourly solar radiation
(Springer-Verlag Berlin, 2007)
In this work, a two-dimensional (2-D) representation of the hourly solar radiation data is proposed. The model enables accurate forecasting using image prediction methods. One year solar radiation data that is acquired and ...
A novel feature vector consisting of Ar-Ma model parameters for motor fault classification
(IEEE, 2006)
In this work, AR-MA parameters corresponding to zeros and poles of the z-plane model are extracted from the sampled current waveform spectra, and considered as elements of a feature vector to classify faulty motors. The ...
Pdf sharpening for multichannel predictive coders
(2006)
Predictive coders that split the prediction decision into con-texts depending on the local image behaviour have proved to be practically useful and successful in image coding applications. Such predictive coders can be ...
On the orthogonality of block wavelet transforms
(IEEE, 2006)
In this paper, orthogonality of Block Wavelet Transforms (BWT) is shown. First the orthogonality of one-stage and two-stage Block Wavelet Transforms is shown, then the result is generalized for multi-stage Block Wavelet Transform.
A Motion Adaptive Wavelet-Denoising for Frame-Rate Up-Conversion
(IEEE, 2016)
This study introduces a method that employs a wavelet zerotree-based shrinkage algorithm motion-adaptively-combined with optical flow estimation for video frame rate up-conversion. In the method, an optical flow estimation ...
A novel lossless image compression approach: "Cooperative prediction"
(2007)
Conditional predictive image coders (such as LOCO, CALIC, etc.) split the prediction rule into logical cases (channels) and produce prediction residuals for each case. It is a known fact that the distributions of these ...