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TIME SERIES ANALYSIS ON CONSUMPTION OF ELECTRICITY IN KWARA STATE
[A CASE STUDY OFFA NEPA DISTRICT OFFICE FROM 2001-2015] -
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- Contributor: mr-chris
- engagements: 245
- Case No: 873560pw
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ABSRACT - [ Total Page(s): 1 ]ABSTRACT HERE
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TABLE OF CONTENTS - [ Total Page(s): 1 ]TABLE OF CONTENTCOVER PAGE APPROVAL PAGE DEDICATION ACKNOWLEDGEMENTTABLE OF CONTENT1.1 INTRODUCTION1.2 BACKGROUND AND ITS OPERATION 1.3 SIGNIFICANCE1.4 SCOPE OF STUDY1.5 AIMS AND OBJECTIVE 1.6 PROBLEMS AND LIMITATION OF STUDY 1.7 DEFINITION OF TERMS 1.8 ABBREVIATION USEDCHAPTER TWO 2.0 LITERATURE REVIEW2.1 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 S ... Continue Reading
CHAPTER ONE - [ Total Page(s): 2 ]CHAPTER ONE1.0 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 statio ... Continue Reading
BIBLIOGRAPHY - [ Total Page(s): 1 ]BIBLIOGRAPHYFreud J.E. William F.J (1970) “Modern Business Statistics†Pitman Publishing bid great Britain Murray .R, Spiegal (1961) “Theory and problems of Statistics†in S.I (Schaum’s outline series)Notational Electric Power Authority 2003 Press Clip (NEPA transformation newsletter Vol.0033) J.B BABALOLAJ.B BABALOLA “Statistics with applications (in behavioural Science, Business and Engineering) Revised Editions MR. .I.O Azeez “Statistical theory “A comprehensive introduction. Other lecturer note been given by MR. ... Continue Reading
CHAPTER TWO - [ Total Page(s): 14 ]CHAPTER TWO2.0 LITERATURE REVIEW SOURCES OF DATA COLLECTION Data are piece of information collected for a certain purpose, in statistic, we can categorizes data into two types; the primary data and secondary data. 2.1 PRIMARY DATA These are data collected at sources. This is the collection of such data in direct from the object of the interest i.e. data collected as a result of research methodology e.g. result of the question and sample survey. 2.2 SECONDARY DATA These are data collected and probably worked upon another body or agency and is merely given ... Continue Reading
CHAPTER THREE - [ Total Page(s): 12 ]SEMI-MOVING AVERAGE METHOD This consist of separating the data parts (preferably equal) averaging the data in each part, this obtaining two points on the graph of the time points and the trend value can be determined directly with out a graph.FREE HAND METHOD This is method which consist of fitting a trend line or curve simply by looking at the graph, can be used to estimate T trend. ESTIMATION OF SEASONAL VARIATION There are different methods available for computing seasonal variation. According to “Spiegelâ€, there are three ways of estimating seasonal variati ... Continue Reading
CHAPTER FOUR - [ Total Page(s): 10 ]Since we must eliminate seasonal variation, the graph label Fig. 11. The seasonal variation in our time series and it is used to remove the effect of seasonal from time series which is called de-seasonalizing a time series. This graph made us proceed be deseasonilize our data as table 4.4 Moving average graph and original data of the montly consumption from 1998-2003 The graph of the original data shows in the figure by the solid line graph of the moving average is shown in broken line. The moving average has smoothed the graph of original data also showing clearly the tre ... Continue Reading
CHAPTER FIVE - [ Total Page(s): 1 ]CHAPTER FIVE5.1 SUMMARY OF FINDINGS The success of any analysis can only but judged by extent to which to which the objectives of the research have been achieved. While the series contain the upward trend figure 1 and 2 shows it to be very week one, the same conclusion can be drawn about the seasonal factor, these shows in table 4:3. However a different conclusion can be drawn about = periodic cyclical reregulation factor. By residual reasoning, it can be inferred that the cyclical irregular factor was overwhelmed in electric consumption in the areas should be domina ... Continue Reading
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ABSRACT - [ Total Page(s): 1 ]ABSTRACT HERE
... Continue Reading
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