Energy Statistics Compilers' Manual
eBook - PDF

Energy Statistics Compilers' Manual

,
  1. 176 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Energy Statistics Compilers' Manual

,
Book details
Table of contents
Citations

About This Book

The Energy Statistics Compilers Manual (ESCM) is a publication that complements in a practical manner the International Recommendations for Energy Statistics (IRES), which provides a comprehensive methodological framework for the collection, compilation and dissemination of energy statistics in all countries irrespective of the level of development of their statistical system. In particular, IRES provides of a set of internationally agreed recommendations covering all aspects of the statistical production process, from the institutional and legal framework, basic concepts, definitions and classifications to data sources, data compilation strategies, energy balances, data quality issues and statistical dissemination. The ESCM is written primarily for practitioners that are tasked with building up or improving the energy statistics programme of a country or institution in a way that is consistent with the latest international standards and produces reliable and internationally comparable data.The ESCM aims to assist countries in the collection, analysis and dissemination of energy statistics to international standards. Its purpose is to complement IRES by providing explanations that make it easier to apply the principles defined in IRES in practical applications, to understand specific relationships that facilitate or complicate the adaptation of such principles to national situations and therefore provide practical ways to implement an energy statistics programme that is consistent with the established international recommendations.

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Information

Publisher
United Nations
Year
2022
ISBN
9789210601405
Topic
Negocios y empresa
Subtopic
Industria energética

Table of contents

  1. Preface
  2. Acknowledgements
  3. Contents
  4. Abbreviations and acronyms
  5. Chapter I: Introduction
  6. Chapter II: Legal framework and institutional arrangements
  7. Chapter III: Classifications
  8. Chapter IV: Generic Statistical Business Process Model
  9. Chapter V: Data sources and data collection
  10. Chapter VI: Commodity and energy balances
  11. Chapter VII: Quality assurance frameworks and metadata
  12. Chapter VIII: Data dissemination