Statistical modeling for long-term meteorological forecasting: a case study in Van Lake Basin
Predicting environmental variables for a sustainable environment is vital for effective
resource management and regional development, especially in sensitive regions such as …
resource management and regional development, especially in sensitive regions such as …
Comparative study on monthly natural gas vehicle fuel consumption and industrial consumption using multi-hybrid forecast models
Z Pala - Energy, 2023 - Elsevier
Accurate natural gas consumption forecasting plays a significant role in production, supply,
and dispatching. Therefore, in this study, a new multi-hybrid model methodology is proposed …
and dispatching. Therefore, in this study, a new multi-hybrid model methodology is proposed …
Forecasting future monthly patient volume using deep learning and statistical models
The variety of diseases is increasing day by day, and the demand for hospitals, especially
for emergency and radiology units, is also increasing. As in other units, it is necessary to …
for emergency and radiology units, is also increasing. As in other units, it is necessary to …
Prediction of the Ionospheric foF2 parameter using R language forecasthybrid model library convenient time series functions
Two different approaches of two different time-series models were used to predict the critical
frequency (foF2) of the ionospheric F2 layer over Athens (38.0° N, 23.5° E), Greece …
frequency (foF2) of the ionospheric F2 layer over Athens (38.0° N, 23.5° E), Greece …
Examining EMF time series using prediction algorithms with R
Z Pala - IEEE Canadian Journal of Electrical and Computer …, 2021 - ieeexplore.ieee.org
In this study, electric field strength (E) levels of high-voltage lines were measured monthly in
Sütlüce (38° N, 41° E), Muş, Turkey, between 2014 and 2018, and the obtained 60 monthly …
Sütlüce (38° N, 41° E), Muş, Turkey, between 2014 and 2018, and the obtained 60 monthly …
Climatology and model prediction of aerosol optical properties over the Indo-Gangetic Basin in north India
The current research focuses on the use of different simulation techniques in the future
prediction of the crucial aerosol optical properties over the highly polluted Indo-Gangetic …
prediction of the crucial aerosol optical properties over the highly polluted Indo-Gangetic …
Comparison of ongoing COVID-19 pandemic confirmed cases/deaths weekly forecasts on continental basis using R statistical models
Z Pala, AF Pala - Dicle Üniversitesi Mühendislik Fakültesi …, 2021 - dergipark.org.tr
The aim of this study is to contribute to the literature by estimating the 5-weeks number of
cases/deaths for each continent by using statistical-based prediction models, which are …
cases/deaths for each continent by using statistical-based prediction models, which are …
Prediction of Electricity Consumption in Türkiye with Time Series
Z Pala - Muş Alparslan Üniversitesi Mühendislik Mimarlık …, 2023 - dergipark.org.tr
Today, electrical energy is the cornerstone of modern life and plays a large role in many
industries, activities and areas of life. It facilitates and improves many aspects of life and …
industries, activities and areas of life. It facilitates and improves many aspects of life and …
Comparison of hybrid and non-hybrid models in short-term predictions on time series in the R development environment
Because many time series usually contain both linear and nonlinear components, a single
linear or nonlinear model may be insufficient for modeling and predicting time series …
linear or nonlinear model may be insufficient for modeling and predicting time series …
Patient volume forecasting in the radiology department using deep learning and statistical-based models
As the demand for medical care increases significantly every day, the issue of managing the
volume of patients in hospitals and radiology units becomes more and more important. Due …
volume of patients in hospitals and radiology units becomes more and more important. Due …