Interim Report on Model Assessment Methodology: Documentation Assessment

Saul I. Gass, Karla L. Hoffman

ISBN 10: 0428012531 / ISBN 13: 9780428012533

Published by Forgotten Books, 2018

About this Item

Print on Demand. This book details principles and procedures for model assessment, particularly in the context of energy modeling. The author evaluates the documentation of the Department of Energy's Midterm Oil and Gas Supply Model to develop a methodology for ensuring that energy models are consistent with their intentions. This methodology and the accompanying guidelines can be applied to verify that energy models conform to their original goals and assumptions. The author also makes recommendations for improving the documentation of energy models, highlighting problems inherent in model documentation, including models that do not meet their intended objectives. Ultimately, the book's insights are significant for establishing standards and procedures to ensure the validity and reliability of energy modeling. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.

Seller Inventory # 9780428012533_0

Bibliographic Details

• Title: Interim Report on Model Assessment Methodology: Documentation Assessment
• Publisher: Forgotten Books
• Publication Date: 2018
• Language: English
• ISBN 10: 0428012531
• ISBN 13: 9780428012533
• Binding: Paperback
• Condition: New
• Book Type: print-on-demand item
• Seller catalogs:
  • General Administrative Records

About this title

Synopsis

Build trust in model work with clear, practical documentation guidance.

This nonfiction guide explains how to assess and improve model documentation. It focuses on a systematic approach to understanding model purpose, data, processes, and outputs, using a real-world energy model as a reference point.

Readers will see how documentation planning, data provenance, and process descriptions support reliable model use. The book also discusses the challenges of documenting large, complex systems and the value of transparent, accessible information for assessors and users alike.

• Evidence-based methods for evaluating documentation completeness and clarity


• What makes data sources, transformations, and validation information trustworthy


• How to structure reports at different stages of model development and maintenance


• Practical lessons from applying these guidelines to a real-world energy model

Ideal for researchers, analysts, and managers who rely on model results and want clear, durable documentation to support replication and scrutiny.