Not specified
Feb 13, 2023
United States
organization, team
About This Opportunity
The Algorithms for Modern Power Systems (AMPS) program supports research projects to develop the next generation of mathematical and statistical algorithms for improvement of the security, reliability, and efficiency of the modern power grid. This program is a partnership between the Division of Mathematical Sciences (DMS) at the National Science Foundation (NSF) and the Office of Electricity Delivery & Energy Reliability (OE) at the U.S. Department of Energy (DOE). The program aims to catalyze fruitful collaborative research projects to develop mathematical and statistical tools needed to address operational and planning issues for the power grid. Research topics could include new statistical and uncertainty-analysis-based methods, methods for characterizing and controlling resiliency and reliability, probabilistic approaches to manage risk and uncertainty, model reduction, model validation, anomaly detection, data analytics, risk hedging, network theory, and computational methods that are scalable without sacrificing performance.
Who Can Apply
- Region
- United States
- Project in
- United States
- Applicants
- organization, team
- Organizations
- academic, nonprofit, for profit, government
Application Details
Stages
- 1 single_stage
Required documents
Review process
Merit review using NSF criteria (Intellectual Merit and Broader Impacts) with joint oversight by NSF and DOE program officers. Proposals reviewed by ad hoc reviewers and/or panels.
Additional benefits
- networking
Restrictions
- reporting_requirements
Post-award obligations
- final_report
- present_findings
- acknowledge_funder
External Application
This opportunity requires you to apply directly on the funder's website.
Apply on External SiteAI-Extracted Data
This opportunity was automatically extracted from an external source using AI. Details such as amounts, deadlines, and eligibility may be incomplete or inaccurate.
Always verify on the official sourceKey Information
- Award Amount
- Not specified
- Application Deadline
-
February 13, 2023 at 23:59 UTCDeadline passed
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