Short term load forecasting using genetically optimized neural network cascaded with a modified Kohonen clustering process

Download

056562.pdf

Date

1996

Author

Özdoğan, Ali

Metadata

Show full item record

Item Usage Stats

90
views

0
downloads

URI

https://hdl.handle.net/11511/11172

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Short term load forecasting using genetically optimized neural network cascaded with a Modified Kohonen clustering process Erkmen, İsmet; Ozdogan, A (1997-07-18) In this study, a new intelligent approach is developed for short term load forecasting (STLF). The technique consists of three basic modules. The first module employ the clustering of daily load curves using Modified Kohonen algorithm (MKA). Second module determine the most appropriate supervised neural network topology and associated initial weight values for each cluster, extracted from the historical data base, by using genetic algorithm (GA). At the third module, genetically optimized three layered back...
Short term load forecasting using GLVQ algorithm cascaded with a supervised ann Balya, Bengü Bala; Erkmen, İsmet; Department of Electrical and Electronics Engineering (1994)
Short term variations of total electron content (TEC) fitting to a regional GPS network over the Kingdom of Saudi Arabia (KSA) Alothman, A. O.; Alsubaie, M. A.; Ayhan, M. E. (Elsevier BV, 2011-09-01) The ionosphere is a dispersive medium for radio waves with the refractive index which is a function of frequency and total electron content (TEC). TEC has a strong diurnal variation in addition to monthly, seasonal and solar cycle variations and small and large scale irregularities. Dual frequency GPS observations can be utilized to obtain TEC and investigate its spatial and temporal variations. We here studied short term TEC variations over the Kingdom of Saudi Arabia (KSA). A regional GPS network is forme...
Short term electricity price forecasting in Turkish electricity market Özgüner, Erdem; Güven, Ali Nezih; Tör, O. Bülent; Department of Electrical and Electronics Engineering (2012) With the aim for higher economical efficiency, considerable and radical changes have occurred in the worldwide electricity sector since the beginning of 1980s. By that time, the electricity sector has been controlled by the state-owned vertically integrated monopolies which manage and control all generation, transmission, distribution and retail activities and the consumers buy electricity with a price set by these monopolies in that system. After the liberalization and restructuring of the electricity powe...
Short Time Series Microarray Data Analysis and Biological Annotation Sökmen, Zerrin; Atalay, Mehmet Volkan; Atalay, Rengül (2008-01-01) Significant gene list is the result of microarray data analysis should be explained for the purpose of biological functions. The aim of this study is to extract the biologically related gene clusters over the short time series microarray gene data by applying unsupervised methods and automatically perform biological annotation of those clusters. In the first step of the study, short time series microarray expression data is clustered according to similar expression profiles. After that, several biological d...

Citation Formats

A. Özdoğan, “Short term load forecasting using genetically optimized neural network cascaded with a modified Kohonen clustering process,” Middle East Technical University, 1996.