Abstract
The Software is a toolbox for Dynamic Programming and Adaptive Dynamic Programming (ADP) that enables stochastic, multi-period decision optimization for arbitrary "black box" models. It’s modular framework is designed to serve as a wrapper for other simulation tools. This enables forward-looking optimization under uncertainty to aid decision making by a variety of stakeholders when facing an increasingly uncertain future.
- Developers:
-
Wu, Hongyu [1] ; Palmintier, Bryan [1] ; Krishnamurthy, Dheepak [1]
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Release Date:
- 2018-06-25
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Licenses:
-
BSD 3-clause "New" or "Revised" License
- Sponsoring Org.:
-
USDOE Office of Energy Efficiency and Renewable Energy (EERE)Primary Award/Contract Number:AC36-08GO28308Other Award/Contract Number:LDRD
- Code ID:
- 12483
- Site Accession Number:
- NREL 16-23
- Research Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Country of Origin:
- United States
Citation Formats
Wu, Hongyu, Palmintier, Bryan, and Krishnamurthy, Dheepak.
dynamo.
Computer Software.
https://github.com/NREL/dynamo.
USDOE Office of Energy Efficiency and Renewable Energy (EERE).
25 Jun. 2018.
Web.
doi:10.11578/dc.20180626.1.
Wu, Hongyu, Palmintier, Bryan, & Krishnamurthy, Dheepak.
(2018, June 25).
dynamo.
[Computer software].
https://github.com/NREL/dynamo.
https://doi.org/10.11578/dc.20180626.1.
Wu, Hongyu, Palmintier, Bryan, and Krishnamurthy, Dheepak.
"dynamo." Computer software.
June 25, 2018.
https://github.com/NREL/dynamo.
https://doi.org/10.11578/dc.20180626.1.
@misc{
doecode_12483,
title = {dynamo},
author = {Wu, Hongyu and Palmintier, Bryan and Krishnamurthy, Dheepak},
abstractNote = {The Software is a toolbox for Dynamic Programming and Adaptive Dynamic Programming (ADP) that enables stochastic, multi-period decision optimization for arbitrary "black box" models. It’s modular framework is designed to serve as a wrapper for other simulation tools. This enables forward-looking optimization under uncertainty to aid decision making by a variety of stakeholders when facing an increasingly uncertain future. },
doi = {10.11578/dc.20180626.1},
url = {https://doi.org/10.11578/dc.20180626.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20180626.1}},
year = {2018},
month = {jun}
}