Identification of bad solar power generation data Hatali Güneş Enerjisi Üretim Ölçümlerinin Tespit Edilmesi

Date

2017-05-18

Author

ŞENGÜL, Deniz
DUYMAZ, Erencan
Göl, Murat

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

38
views

0
downloads

In this paper, a novel method has been presented for the had data identification of the data recovery process from a solar power measurement data set. Due to failures in solar power measurement logging devices, a long period of solar power generation data might necessary to be recovered. In order to ensure that the recovered data is the correct one, the daily solar generation curve has to be investigated. Due to the high data amount, this control process has to be done automatically. It is observed that the daily solar generation curve is much similar to cosine wave. In this study, the recovered data is compared to reference cosine wave and it is aimed to identify the suspicious data group. In this context, this work is based on the normalized residuals test.

Subject Keywords

Data recovery, Daily generation curve, Solar power, Bad data identification

URI

https://hdl.handle.net/11511/36233

DOI

https://doi.org/10.1109/siu.2017.7960590

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Which method gives the best forecast for longitudinal binary response data?: a simulation study Aslan, Yasemin; İlk Dağ, Özlem; Department of Statistics (2010) Panel data, also known as longitudinal data, are composed of repeated measurements taken from the same subject over different time points. Although it is generally used in time series applications, forecasting can also be used in panel data due to its time dimension. However, there is limited number of studies in this area in the literature. In this thesis, forecasting is studied for panel data with binary response because of its increasing importance and increasing fundamental roles. A simulation study is ...
Validation of methods time measurement data Bahçıvancılar, Uğur; Çilingir, Canan; Department of Industrial Engineering (2012) This thesis shows the results of an experiment in order to test the validity of Methods Time Measurement (MTM) data. MTM, developed in 1948, is one of the most commonly used Predetermined Motion Time Systems to calculate standard time for a task. However, there is limited research on the validity of the MTM data in the literature. Today’s technology provides new computerized tools to perform time studies. One of such tools is Real Time Method Study (RTMS). RTMS is a computerized method study tool being deve...
Score test for testing etiologic heterogeneity in two-stage polytomous logistic regression Karagülle, Saygın; Kalaylıoğlu Akyıldız, Zeynep Işıl; Department of Statistics (2013) Two-stage polytomous logistic regression was proposed by Chatterjee (2004) as an effective tool to analyze epidemiological data when disease subtype information is available. In this modeling approach, a classic logistic regression is employed in the first level of the model. In the second level, the first-stage regression parameters are modeled as a function of some contrast parameters in a somehow similar spirit of an ANOVA model. This modeling also enables a practical way of estimating the heterogeneity ...
A Case study for calculating and reporting the uncertainty budget of 1 and 2 dimensional combined hydraulic model Gül, Uğraş Sidar; Altan Sakarya, Ayşe Burcu; Department of Civil Engineering (2019) This study aims to suggest a framework to quantify and report the uncertainty budget of a 1 & 2 dimensional hydraulic model of five possible error sources by using ISO GUM method. The river engineers take into account several considerations when they design the riverbeds; one of the main considerations is the flood protection aspect of the riverbed, to asses that a hydraulic model is usually prepared. However, results generated from the hydraulic models are not exempt from errors. The ISO GUM method provide...
Performance of ensemble forecasting tools for analysis Turkish consumer price index Aydemir, Petek; Yozgatlıgil, Ceylan; Department of Statistics (2018) Major challenge in time series analysis is to get reasonably accurate forecasts of the future data from the analysis of the previous records. Accurate forecasting of inflation has great importance in the market economies, the policymakers and the monetary system since the inflation rate determines the cost and standard of living. Also, it affects the decision on investments. In Turkey, the inflation rate is measured by the consumer price index (CPI). There exist many methods to predict the future values of ...

Citation Formats

D. ŞENGÜL, E. DUYMAZ, and M. Göl, “Identification of bad solar power generation data Hatali Güneş Enerjisi Üretim Ölçümlerinin Tespit Edilmesi,” 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36233.