Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Small area load forecasting for distribution system planning using neural networks
Download
075900.pdf
Date
1998
Author
Kaynar, Taner
Metadata
Show full item record
Item Usage Stats
132
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/1621
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Small Response Surface Designs for Metamodel Estimation
Batmaz, İnci (Elsevier BV, 2003-01-01)
The primary objective of this study is to provide the novice researchers in simulation metamodeling with guidance on how to use small designs for metamodel estimation especially when cost effectiveness is a concern. This study was carried out in three phases: First, a group of second-order small designs were evaluated with respect to various criteria. Next, the metamodel of a time-shared computer system was estimated using these designs. Finally, the predictive capabilities of these small designs in giving ...
Small domain estimation techniques for census and survey data
Deliloğlu, R. A. Selim ; Ayhan, Öztaş; Department of Statistics (2001)
Small domain estimation techniques for official statistics based on sample surveys
Özcan, Cevriye; Ayhan, H. Öztaş; Department of Statistics (1991)
Small sample properties of improved estimators for linear models with heteroscedasticity of unknown form
Özmen, Erdal; Erlat, Haluk; Department of Economics (1988)
Small Target Detection By Morphological Operations
Yardimci, Ozan; Tunc, Seyit; Ulusoy, İlkay (2015-05-19)
Automatic target detection has an important application field in today's missile technology. Therefore, there are many studies in this field. In this context, morphological operation (MO) based methods were firstly investigated and tested on the prepared scenarios. As a results of test results, methods were compared on the basis of the detection performance, user defined parameter quantity and processing time. After comparison results, the methods are determined which has better detection performance, do no...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
T. Kaynar, “Small area load forecasting for distribution system planning using neural networks,” Middle East Technical University, 1998.