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A prediction model for short term electricity demand.

by Yung Kai-man. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1990. / Bibliography: leaves 90-92. / ABSTRACT --- p.ii / ACKNOWLEDGMENTS --- p.iii / TABLE OF CONTENTS --- p.iv / LIST OF ILLUSTRATIONS --- p.vi / LIST OF TABLES --- p.vii / Chapter / Chapter I. --- INTRODUCTION --- p.1 / Background --- p.1 / Methodology Review --- p.6 / Chapter II. --- DATA BASE AND VARIABLES --- p.8 / The Data Base --- p.8 / The Dependent Variables --- p.9 / The Independent Variables --- p.14 / Chapter III. --- METHODOLOGY --- p.24 / Regression Analysis --- p.24 / Selection of the Predictors --- p.25 / Regression Studies Using Moving Data --- p.29 / Programming Aids --- p.32 / Chapter IV. --- RESULTS AND DISCUSSIONS --- p.35 / Validity of the Assumptions for the Regression Model --- p.35 / Prediction Power of the Model --- p.37 / Utility of the Prediction Model --- p.39 / A Practical View of the Model Prediction --- p.47 / Representation of the Predictors --- p.48 / Chapter V. --- CONCLUSION AND RECOMMENDATIONS --- p.51 / Evaluation of the Prediction Model --- p.51 / Extension of the Project --- p.53 / APPENDICES --- p.55 / REFERENCES --- p.90

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_318549
Date January 1990
ContributorsYung, Kai-man., Chinese University of Hong Kong Graduate School. Division of Business Administration.
PublisherChinese University of Hong Kong
Source SetsThe Chinese University of Hong Kong
LanguageEnglish
Detected LanguageEnglish
TypeText, bibliography
Formatprint, vii, 92 leaves : ill. ; 30 cm.
CoverageChina, Hong Kong
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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