NSF award 2550658 · Purdue University

ERI: Climate-Invariant Operational Strategies for Hydropower Reservoirs via Generative and Domain-Adaptive Reinforcement Learning

Final report due

28 September 2028

in 711 days · The award ends on 31 May 2028.

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award ending 2028-05-31 · Research.gov
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Extension request16 Apr 2028in 546 days
award ending 2028-05-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 May 2028in 581 days
award ending 2028-05-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Sep 2028in 711 days
award ending 2028-05-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Sep 2028in 711 days
award ending 2028-05-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Sep 2028in 711 days
award ending 2028-05-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 September 2028.

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Award card

Award number: 2550658
Period of support: 1 Jun 2026 – 31 May 2028
Amount: $199,888
Awardee: Purdue University, West Lafayette, IN
Program: ERI-Eng. Research Initiation
Directorate: ENG

Abstract

This NSF Engineering Research Initiation (ERI) project aims to make the nation's hydropower fleet, a leading source of U.S. renewable electricity, more reliable under varying uncertainties in climate conditions. This project will advance a new paradigm for reservoirs operations by replacing rules built from historical records with artificial intelligence (AI) tools that adapt to droughts, floods, and other…

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