THE EFFECT OF THE DATA TYPE ON ANFIS RESULTS, CASE STUDY TEMPERATURE AND RELATIVE HUMIDITY

Pinar Bakhtiyar Abdulkareem SALIHI; Nadire ÜÇLER

Article Details

THE EFFECT OF THE DATA TYPE ON ANFIS RESULTS, CASE STUDY TEMPERATURE AND RELATIVE HUMIDITY

Authors:

Pinar Bakhtiyar Abdulkareem SALIHI | Nadire ÜÇLER

Publisher:

Kütahya Dumlupinar University

Main Topics:

Applied physics

Journal:

Journal of Scientific Reports-A 2021 Issue 046, pp.14-33

Document Type:

Article

Publication Date:

6/2021

Document Language:

English

Document ID (Org No.):

2000495363

Frequency:

Quarterly

eISSN:

2687-6167

Abstract:

 


In this study, the Adaptive Neuro-Fuzzy Inference System (ANFIS) was used to create models to predict mean relative humidity and temperature with the most suitable inputs. To find the most appropriate data type for these meteorological parameters both hourly-daily and raw-normalized data sets were used, and results were compared. The models were trained with 2014-2017 data observed at Kirkuk city station in Iraq, were checked with both 2018 data of Kirkuk and Sanliurfa city station in Turkey to investigate whether a model set with the data of a country could be used for another country data set. The execution of models was evaluated by using root mean square error (RMSE), mean absolute error (MAE), and determination coefficient R2. Among the two parameters, the temperature achieved the best performance using relative humidity and dew point as input variables. According to the results, daily normalized data had lower error values and higher R2 than hourly un-normalized data. Additionally, the results showed that the model performed successfully at the Sanliurfa city station on the temperature parameter because of similar climate conditions to Kirkuk city.

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Article Details

THE EFFECT OF THE DATA TYPE ON ANFIS RESULTS, CASE STUDY TEMPERATURE AND RELATIVE HUMIDITY

Authors: Pinar Bakhtiyar Abdulkareem SALIHI | Nadire ÜÇLER

Publisher: Kütahya Dumlupinar University

Main Topics: Applied physics

Journal: Journal of Scientific Reports-A 2021 Issue 046, pp.14-33

Document Type: Article

Publication Date: 6/2021

Document Language: English

Document ID (Org No.): 2000495363

Frequency: Quarterly

eISSN: 2687-6167

Issues

Authors:

Pinar Bakhtiyar Abdulkareem SALIHI | Nadire ÜÇLER

Publisher:

Kütahya Dumlupinar University

Main Topics:

Applied physics

Journal:

Journal of Scientific Reports-A 2021 Issue 046, pp.14-33

Document Type:

Article

Publication Date:

6/2021

Document Language:

English

Document ID (Org No.):

2000495363

Frequency:

Quarterly

eISSN:

2687-6167