Time Series Analysis on Consumption of Electricity in Kwara State, A Case Study Of a NEPA District Office From 2001-2015
TABLE OF CONTENT
COVER PAGE
APPROVAL PAGE
DEDICATION
ACKNOWLEDGEMENT
TABLE OF CONTENT
1.1 INTRODUCTION
1.2 BACKGROUND AND ITS OPERATION
1.3 SIGNIFICANCE
1.4 SCOPE OF STUDY
1.5 AIMS AND OBJECTIVE
1.6 PROBLEMS AND LIMITATION OF STUDY
1.7 DEFINITION OF TERMS
1.8 ABBREVIATION USED
CHAPTER TWO
2.0 LITERATURE REVIEW
2.1 METHOD OF DATA ANALYSIS
2.2 TIME SERIES ANALYSIS
2.3 IMPORTANCE OF TIME SERIES
2.4 NATURE OF TIME SERIES
2.5 CHARACTERISTICS OF TIME SERIES
2.6 TIME SERIES MODELS
2.7 OTHER COMPONENT OF THE TIME SERIES MODEL
2.8 AUTO REGRESSIVE MODEL
2.8.1 FIRST ORDER AND SECOND ORDER OF REGRESSIVE MODEL
2.8.2 COMPUTATION OF ESTIMATE
2.8.3 YULE PROCESS AR(2) PARAMETER PROCESS
2.8.4 AUTO CORRELATION FUNCTION FOR AR(2)
2.8.5 FOURIER ANALYSIS
2.8.6 SPECTRUM OF A TIME SERIES
2.8.7. PERIODIOGRAM
2.8.8 CORRELATIONS
2.8.9 IMPORTANCE OF CORRELATION
CHAPTER THREE
METHODOLOGY
3.0 THEMED OF ESTIMATING TREND
3.1 LEAST SQUARE METHOD
3.2 MOVING AVERAGE METHOD
3.3 SEMI-MOVING AVERAGE METHOD
3.4 FREE HAND METHOD
3.5 ESTIMATION OF SEASONAL VARIATION
3.6 SIMPLE AVERAGE METHOD
3.7 PERCENTAGE TREND METHOD
3.8 RATIO TO MOVING AVERAGE
3.9 FORECASTING
3.9.0 SHORT TERM FORECASTING
3.9.1 INTERMEDIATE FORECASTING
3.9.2. LONG TERM FORECASTING
3.9.4 GENERALIZED TEST OF HYPOTHESIS
CHAPTER FOUR
4.1 ANALYSIS OF DATA
CHAPTER FIVE
5.1 SUMMARY OF FINDING
5.2 CONCLUSION
5.3 RECOMMENDATION
5.4 BIBLIOGRAPHY
CHAPTER ONE
1.0 INTRODUCTION
The primary aim of National Electrical Power Authority (NEPA) is in cardinal point which is to generate, transmission, distribution and sales electricity within and outside country. National Electric Power Authority NEPA can be regarded as heart beat of the nation economy as the operation of machines use in industries and most household equipment depend on electricity. Today National Electric Power Authority (NEPA) meets total maximum energy demand from the total installed capacity of the Authority power station which is 600mw, the terminal power station are strategically located at Egbin, Ijora, Delta Ugheli, Sapele and Afan, while the hydro power station generate are located at Kanji, Jebba and Shoro, the terminal power station generate electricity for exportation into grid system. As part of the positive effort of NEPA to ensure the electricity generated reach the appropriate quarters in the next millennium, it has put in place 11,000km of transmission line running across the nation.Many researchers had previous carried out research work on NEPA, on some aspect of electricity consumption with related objective. Individual article and study of NEPA, they have put forward many analysis and suggestion basically on consumption, supply and distribution of electricity.
ELEKE, G (2021). Time Series Analysis on Consumption of Electricity in Kwara State, A Case Study Of a NEPA District Office From 2001-2015. Afribary. Retrieved from https://afribary.com/works/time-series-analysis-on-consumption-of-electricity-in-kwara-state-a-case-study-of-a-nepa-district-office-from-2001-2015
ELEKE, GARBA "Time Series Analysis on Consumption of Electricity in Kwara State, A Case Study Of a NEPA District Office From 2001-2015" Afribary. Afribary, 16 Dec. 2021, https://afribary.com/works/time-series-analysis-on-consumption-of-electricity-in-kwara-state-a-case-study-of-a-nepa-district-office-from-2001-2015. Accessed 27 Nov. 2024.
ELEKE, GARBA . "Time Series Analysis on Consumption of Electricity in Kwara State, A Case Study Of a NEPA District Office From 2001-2015". Afribary, Afribary, 16 Dec. 2021. Web. 27 Nov. 2024. < https://afribary.com/works/time-series-analysis-on-consumption-of-electricity-in-kwara-state-a-case-study-of-a-nepa-district-office-from-2001-2015 >.
ELEKE, GARBA . "Time Series Analysis on Consumption of Electricity in Kwara State, A Case Study Of a NEPA District Office From 2001-2015" Afribary (2021). Accessed November 27, 2024. https://afribary.com/works/time-series-analysis-on-consumption-of-electricity-in-kwara-state-a-case-study-of-a-nepa-district-office-from-2001-2015