Evaluation of Performance of Electrical Power Supply in South-East Nigeria
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2018 by IJETT Journal|
|Year of Publication : 2018|
|Authors : M.C Anumaka
|DOI : 10.14445/22315381/IJETT-V66P221|
MLA Style: M.C Anumaka "Evaluation of Performance of Electrical Power Supply in South-East Nigeria" International Journal of Engineering Trends and Technology 66.3 (2018): 123-128.
APA Style:M.C Anumaka (2018). Evaluation of Performance of Electrical Power Supply in South-East Nigeria. International Journal of Engineering Trends and Technology, 66(3), 123-128.
This paper is on appraisal performance of electricity power supply in South-East Nigeria. The Semantic Differential Technique was adopted in constructing the questionnaire for this research which ranges from +5 Very Large Extent Agreement to -5 Very Large Extent Disagreement. A sample of 120 respondents was used in the five South-Eastern states. The Pearson correlation coefficient was employed to establish the reliability of instrument that yielded an index coefficient of 0.906, which proved the instrument reliable. The study hypothesis was tested using Regression Analysis statistical technique, while charts with percentage were used in the demographical data. The study revealed that there is a significant improvement in the performance of electrical power supply in Nigeria since the p-value (0.000) is 0.05 (level of significance). The result further reviewed that there is a strong and positive improvement in the performance of electrical power supply since the slope (0.782) is positive and the coefficient of determination is 0.793. Implementation of this research work will enhance ameliorate power losses, and ensure efficient and effective economic dispatch of electric power. The study however recommends that future researchers should study a similar work by examining other geo-political zone and employing different statistical technique to compare result.
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Evaluation, Performance, Electrical Power Supply, Effective Utilization, Power generation.