Abstract:
The purposes of this research were to analyze and to describe the major factors that affected peakdemand electrical energy at Vocational Education Institutes, Office of Technology and VocationalEducation Commission. The sample chosen for this study were 511 of electrical power instructorsat Vocational Education Institutes. The instrument used for data collection was 7 rating scales. Thereliability of the instrument calculated by Cronbach Alpha Coefficient was 0.9859. The data wasanalyzed by using Means (x), Standard Deviation (S.D.) and Analysis of Factors by PrincipalComponent Analysis technique : PCA, orthogonal rotation axis by Varimax Method.The results of the study were as follows.1. There were 5 major factors of behaviors that affected peak demand of electrical energyas follows : (1) Motor System, (2) Lighting System, (3) Electrical Appliance, (4) Air-conditionSystem, (5) Other Systems. These factors could be explained from 55.078% of the total variance.A study of Correlation Coefficient between 5 factors and 48 variables was 0.781- 0.481 andCorrelation Coefficient between 5 factors of behaviors that affected peak demand of electricalenergy was 0.454 0.681 ,which was in high level. Correlation Coefficient within the 5 internalfactors was of 0.037 0.148, which was in low level. The regression or predicting equation ofbehaviors that affected peak demand of electrical energy was :Y = 0.681(Motor System)+ 0.623(Lighting System) + 0.454(Electrical Appliances) +0.641(Aircondition System) + 0.563(Other Systems)The prediction equation has the power of prediction 40 % and error of prediction was 20 %.2. When present status, minimum requirement and expectation conditions were compared,it was found that the use of low-quality of ballast such as iron-core ballast or general lamp selection such as non-reflected lamp and unplugged iron after use would cause peak demand of electrical energy at Vocational Education Institutes, Office of Technology and Vocational Education.