Energy Finance Data Warehouse Manual

Sangkeun Lee, Supriya Chinthavali, Mallikarjun Shankar, Claire Zeng, Stephen Hendrickson

Research output: Other contributionTechnical Report

Abstract

The Office of Energy Policy and Systems Analysis s finance team (EPSA-50) requires a suite of automated applications that can extract specific data from a flexible data warehouse (where datasets characterizing energy-related finance, economics and markets are maintained and integrated), perform relevant operations and creatively visualize them to provide a better understanding of what policy options affect various operators/sectors of the electricity system. In addition, the underlying data warehouse should be structured in the most effective and efficient way so that it can become increasingly valuable over time. This report describes the Energy Finance Data Warehouse (EFDW) framework that has been developed to accomplish the defined requirement above. We also specifically dive into the Sankey generator use-case scenario to explain the components of the EFDW framework and their roles. An excel-based data warehouse was used in the creation of the energy finance Sankey diagram and other detailed data finance visualizations to support energy policy analysis. The framework also captures the methodology, calculations and estimations analysts used for the calculation as well as relevant sources so newer analysts can build on work done previously.
Original languageEnglish
Place of PublicationUnited States
DOIs
StatePublished - 2016

Keywords

  • 97 MATHEMATICS AND COMPUTING

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