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4 results for “Forecasting”

Research Article Open Access Forecasting the Installed Wind Power in Turkey by Artificial Neural Network
Mehmet Feyzi Özsoy, Özsoy M, Hakan Aydoğan, Aydoğan H
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

The aim of this study is to forecast installed wind power which is a one of the renewable energy resources in Turkey for the year of 2017 based on artificial neural network method using the normalized last ten-year data. An artificial neural network has been c…

Research Article Open Access Determination of Percentile Sunlit Time of a Rooftop using the VI-Suite
Hakan Aydoğan, Aydoğan H, Mehmet Feyzi Özsoy, Özsoy M
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

The aim of this study is to determine instantaneous irradiance and annual percentile sunlit time on the available rooftop floor area of Technical and Social Science Vocational School at Usak University by simulation using open source software. The building of …

Research Article Open Access Forecasting the Dielectric Properties of the Insulation Material using an Embedded ANN Microcontroller
Hakan Aydoğan, Aydoğan H, Faruk Aras, Aras F, Ercüment Karakaş, Karakaş E
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

This paper describes a laboratory application for the forecasting the dielectric properties, using an artificial neural network embedded in a microprocessor. The dielectric permittivity and loss factor of the insulation material were determined as a function o…

Research Article Open Access Estimation of Electricity Consumption by Regression and Artificial Neural Networks Approaches
Ümmü Gülsüm Eraslan, Eraslan Ü, Figen Balo, Balo F, Büşra Çetin, Çetin B, Ukbe Ü. Uçar, Uçar U
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

Aim of the study: It is important to be able to plan the production transmission and distribution necessary for uninterrupted electricity and to use the electricity more efficiently and to make demand forecasts. For this reason, it is aimed to estimate the ele…

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
Open Discovery Metadata · DOI · OAI-PMH
Global Reachresearchers worldwide