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Toplam kayıt 35, 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 ...
Hourly solar radiation forecasting using optimal coefficient 2-D linear filters and feed-forward neural networks
(Pergamon-Elsevier Science LTD, 2008)
In this work, the hourly solar radiation data collected during the period August 1, 2005-July 30, 2006 from the solar observation station in Iki Eylul campus area of Eskisehir region are studied. A two-dimensional (2-D) ...
Mycielski approach for wind speed prediction
(Pergamon-Elsevier Science LTD, 2009)
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 ...
Harmonic analysis based hourly solar radiation forecasting model
(Inst Engineering Technology-Iet, 2015)
In this study, a novel two-step hourly solar radiation modelling procedure is developed. In the first step, hourly solar radiation data of a single day is considered and its periodic Fourier series coefficients are calculated. ...
A subspace based progressive coding method for speech compression
(Elsevier Science BV, 2017)
In this study, two novel methods, which are based on Karhunen Loeve Transform (KLT) and Independent Component Analysis (ICA), are proposed for coding of speech signals. Instead of immediately dealing with eigenvalue ...
Adaptive polyphase subband decomposition structures for image compression
(IEEE-Inst Electrical Electronics Engineers Inc, 2000)
Subband decomposition techniques have been extensively used for data coding and analysis. In most filter banks, the goal is to obtain subsampled signals corresponding to different spectral regions of the original data. ...
Improved synthetic wind speed generation using modified Mycielski approach
(Wiley-Blackwell, 2012)
In this paper, novel approaches for wind speed data generation using Mycielski algorithm are developed and presented. To show the accuracy of developed approaches, we used three-year collected wind speed data belonging to ...
A new implementation of common matrix approach using third-order tensors for face recognition
(Pergamon-Elsevier Science LTD, 2011)
In the classical common matrix approach (CMA), the common matrix for each individual face class is obtained using basis matrices calculated by Gram-Schmidt orthogonalization of the class covariance matrix. This common ...
Compression of power quality event data using 2D representation
(Elsevier Science Sa, 2008)
This paper introduces the energy compaction efficiency of a novel two-dimensional (2D) representation for compression of recorded power quality event data. The 2D representation enables to exploit redundancy across vertical ...