• Time Series Analysis On Consumption Of Electricity In Kwara State
    [A CASE STUDY OFFA NEPA DISTRICT OFFICE FROM 2001-2015]

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    • CHAPTER FIVE
      5.1    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 dominated by cyclical irregular consideration, however in making such policies, consideration of the effect of other components should ignored.
          The falling and rising pattern of series which exhibit own-periodic cyclical fluctuation could be trace to irregular supply and occasional mass disconnection of electricity couple with labour interest, damage and theft NEPA installation and equipment.
      5.2    CONCLUSION
          The rate of electricity consumption is one increase in the state from year to year, this can be attributed to the federal government rural electrification program by directorate for food, Roads and rural infrastructure (DFRRI). This increase occurs due to use of electronic components and establishment of industries.
          There was a rapid increase in the consumption of electricity, which include, Residential, commercial, and industrial which bring about a rapid increase in the amount of energy consumed. Conclusively, if the level of consumption by all class will be on increase.
      5.3    RECOMMENDATION
          As previously discussed, NEPA are faced with problems such as venderliztaion of authority equipment debtors, lack of proper accounting etc. apart from providing the infrastructure, the government should also help uninvolving appropriate technologies in various field which may be in keeping with the factors endowment of the country. Nigeria should be allow to benefit from the past reservoirs of knowledge in the field of technologically advanced country. Their technology should be modified and adapted to suit our social economic and technical absorption capacity requirement.
          Moreover, training can do a great deal to increase the supply of electricity, although not all the characteristics are trainable, this is because of the authority require a combination of capacities but not withstanding the training can eliminate some of the problem facing the authority.
          AT THIS JUNCTURE, I call on private, industrial and commercial consumer to pay up there bills, promptly to avoid disconnection and total breakdown of NEPA equipment and government should provide normal equipment for NEPA for better standard of living.
      HELP NEPA TO HELP YOU

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    • ABSRACT - [ Total Page(s): 1 ]ABSTRACT HERE ... Continue reading---

         

      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    ... 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 t ... Continue reading---

         

      BIBLIOGRAPHY - [ Total Page(s): 1 ]BIBLIOGRAPHYFreud J.E. William F.J (1970)  â€œModern 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     â€œStatistics with applications (in behavioural Science, Business and Engineering) Revised Editions MR. .I.O Azeez    â€œ ... 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 ... 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 seasona ... 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 ... Continue reading---