An application of artificial neural networks for prediction and comparison with statistical methods

S Ballı, İ Tarımer - Elektronika ir Elektrotechnika, 2013 - eejournal.ktu.lt
The unemployment rate is a measure of the prevalence of unemployment and can be a
good indication of the for country's economic situation. It is thought that it might change …

[PDF][PDF] A comparative Study of Forecasting the Electrical Demand in Basra city using Box-Jenkins and Modern Intelligent Techniques.

KA Al-zahra, K Moosa, BH Jasim - Iraqi Journal for Electrical & Electronic …, 2015 - iasj.net
The electrical consumption in Basra is extremely nonlinear; so forecasting the monthly
required of electrical consumption in this city is very useful and critical issue. In this Article an …

Forecasting agricultural sector employment in Iran

AR Karbasi, H Asnashari - Journal of Agricultural Economics and …, 2008 - jead.um.ac.ir
Agricultural sector is the most important sectors in the country which has a large share in
total employment. The increasing supply of labor because population growth and low …

[PDF][PDF] Modeling and forecasting Turkey's electricity consumption by using artificial neural network

Ş Birim, A Tümtürk - American Scientific Research Journal for …, 2016 - researchgate.net
The article describes the future projections of electricity demand in Turkey by using multiple
linear regression (MLR) and artificial neural Networks (ANN). For this purpose six …

[PDF][PDF] Estimation of the unemployment rate in Turkey: A comparison of the ARIMA and machine learning models including Covid-19 pandemic periods

DS Yamacli, S Yamacli - Heliyon, 2023 - cell.com
The article focuses on analyzing the robustness of Auto Regressive Integrated Moving
Average (ARIMA) and Artificial Neural Networks (ANN) methods in unemployment rate …

Electrical energy demand forecasting using artificial neural network

YE UNUTMAZ, A Demirci, SM Tercan… - 2021 3rd International …, 2021 - ieeexplore.ieee.org
The continuous development of technology, population growth, and increased economic
comfort enlarge the energy demand. The welfare and economy of both the producer and the …

[PDF][PDF] Forecasting electricity consumption of Turkey using time series methods and neural networks

AH Erol, N Özçelikkan, A Tokgöz, S Özel, S Zaim… - ICM, 2012 - researchgate.net
The high growth rate of Turkish Economy in the last decade resulted in substantial increase
of energy consumption. Both commercial and residential electricity consumption has …

Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio-economic indicators and climatic conditions: Case of Turkey

ME Günay - Energy Policy, 2016 - Elsevier
In this work, the annual gross electricity demand of Turkey was modeled by multiple linear
regression and artificial neural networks as a function population, gross domestic product …

A novel artificial neural network model for forecasting electricity demand enhanced with population-weighted temperature mean and the unemployment rate

M Comert, A Yıldız - Turkish Journal of Engineering, 2022 - dergipark.org.tr
Precise electricity demand forecasting has principal significance in the energy production
planning of the developing countries. Especially during the last decade, numerous recent …

The prediction of meteorological variables using artificial neural network

A Erdil, E Arcaklioglu - Neural Computing and Applications, 2013 - Springer
Artificial neural network model had been implemented in different areas such as industrial
processes, sciences, and business. In these days, climatic changes have occurred. In this …