Modeling of Uncertainties in Major Drivers in U.S. Electricity Markets: Preprint
- W. Short, T. Ferguson, M. Leifman
- Computer Science
- 1 September 2006
The rationale for this project and a description of its alpha version, as well as some example results, are outlined, and some of the expected development efforts in SEDS are described.
Infrastructure and Disruptive Technologies
- M. Leifman, M. Fay, C. Nicolas, J. Rozenberg
- BusinessBeyond the Gap: How Countries Can Afford the…
- 12 February 2019
FY 2008 benefits analysis for EERE's RD3 portfolio
- S. Hassell, M. Leifman, J. Sheehan, G. Porro, R. Benioff
- Economics
- 20 December 2006
A presentation for the FY 2007 GPRA methodology review on the FY 2008 benefits analysis for EERE’s RD3 portfolio.
Is the Ghost in the Machine, or the Devil in the Details? Uncertainty and Model Complexity in Long-Range Energy-Environmental Policy Modeling
- A. Sanstad, M. Leifman
- Political Science
- 16 September 2007
Over the past three decades, numerical energy-economic modeling has become the dominant tool for energy policy analysis, and is now playing a similar role in the analysis of climate change and…
Distributed Generation Adoption and Decision Making Under Uncertainty
- M. Sanford, M. Leifman
- Computer Science
- 9 October 2011
Scenarios: Leapfrog, Lock-In, and Lopsided
- M. Leifman
- Economics
- 19 February 2019
This paper presents the details of three scenarios -- leapfrog, lock-in, and lopsided -- that describe an illustrative set of technological states. Based largely on expert interviews, the paper…
Guest Editors’ Note
- M. Leifman, M. Heil
- Economics
- 1 March 2005
The articles that appear in this journal were commissioned by the U.S. Environmental Protection Agency’s Office of Atmospheric Programs (OAP). Among OAP’s various responsibilities are climate change…