Submitted Manuscripts

Name, last name:	Masome Tanekar
ID:	15
Academic degree, academic title, academic interests:	Department of Humanities, 1Department of Educational Sciences,Islamic Azad University Khorramabad Branch, Khorramabad, Iran,
E-mail:	a.nfalah@yahoo.com

Qualified principals and its relationship with student achievement This study aimed to assess the competence of directors and its relationship with academic achievement of high school students were Khorramabadcity. The population in this study Natural sciences managers and students of the third year of high school Khorramabad stratified random sampling technique from the 105 managers Judy Data gathering tools do not and what the worker (2001),obtained using the methods of descriptive and inferential statistical analysis.Results show that the competence of the technical, human and conceptual.Also a significant difference between managers and general managers of professional qualifications (technical, human and conceptual) There is a significant correlation with student achievement.
Qualified principals and its relationship with student achievement This study aimed to assess the competence of directors and its relationship with academic achievement of high school students were Khorramabadcity. The population in this study Natural sciences managers and students of the third year of high school Khorramabad stratified random sampling technique from the 105 managers Judy Data gathering tools do not and what the worker (2001),obtained using the methods of descriptive and inferential statistical analysis.Results show that the competence of the technical, human and conceptual.Also a significant difference between managers and general managers of professional qualifications (technical, human and conceptual) There is a significant correlation with student achieve

Name, last name:	Ahmet Demir
ID:	5
Academic degree, academic title, academic interests:	PhD/c Production Management Total Quality Management Operations Research Project Management
E-mail:	ahmet.demir@ishik.edu.iq

Forecasting the monthly electricity demand of Georgia using competitive models and advices for the strategic planning Electricity is a kind of energy that consumption increases rapidly. However, Electricity is used from the residences to the industry everywhere. This non-storable energy needs to be predicted precisely and supplied sufficiently. For this reason in this research electricity demand of Georgia is predicted using comparative models as Box Jenkins and Neural Network. By this way, an accurate model was developed to perform a strategic plan. For the calculation of significance level, MAPE is utilized to see error. It was seen that artificial neural network multilayer perceptron model provided better predictions rather than SARIMA model. Finally, some suggestions are expressed to the government of Georgia for future plans.
Forecasting the monthly electricity demand of Georgia using competitive models and advices for the strategic planning Electricity is a kind of energy that consumption increases rapidly. However, Electricity is used from the residences to the industry everywhere. This non-storable energy needs to be predicted precisely and supplied sufficiently. For this reason in this research electricity demand of Georgia is predicted using comparative models as Box Jenkins and Neural Network. By this way, an accurate model was developed to perform a strategic plan. For the calculation of significance level, MAPE is utilized to see error. It was seen that artificial neural network multilayer perceptron model provided better predictions rather than SARIMA model. Finally, some suggestions are expressed to the government of Georgia for future plans.