NOI: Enhancing the Electric Power Systems' Reliability and Resilience via Sensor Data Analytics Demonstrations
The summary for the NOI: Enhancing the Electric Power Systems' Reliability and Resilience via Sensor Data Analytics Demonstrations grant is detailed below.
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NOI: Enhancing the Electric Power Systems' Reliability and Resilience via Sensor Data Analytics Demonstrations: This is a Notice of Intent to Issue Funding Opportunity Announcement No. DE-FOA-0003128; titled Enhancing the Electric Power Systems' Reliability and Resilience via Sensor Data Analytics Demonstrations; The objective of this potential FOA is to enhance grid reliability and resilience in the age of big data. The electric power industry is witnessing an explosive growth in the volume and velocity of utility data. Specifically, the tsunami of data generated by the Advanced Metering Infrastructure (AMI) as well as sensors with fast-streaming data sets (e.g., phasor measurement units) have been challenging the traditional methods of data acquisition, use, and storage in utilities; will be a cooperative agreement; and support various Office of Electricity (OE).
| Federal Grant Title: | NOI: Enhancing the Electric Power Systems' Reliability and Resilience via Sensor Data Analytics Demonstrations |
| Federal Agency Name: | National Energy Technology Laboratory (DOE-NETL) |
| Grant Categories: | Science and Technology |
| Type of Opportunity: | Discretionary |
| Funding Opportunity Number: | DE-FOA-0003128 |
| Type of Funding: | Cooperative Agreement |
| CFDA Numbers: | 81.122 |
| CFDA Descriptions: | Information not provided |
| Current Application Deadline: | November 30th, 2023 |
| Original Application Deadline: | November 30th, 2023 |
| Posted Date: | July 13th, 2023 |
| Creation Date: | July 13th, 2023 |
| Archive Date: | December 30th, 2023 |
| Total Program Funding: | |
| Maximum Federal Grant Award: | $2 |
| Minimum Federal Grant Award: | $1 |
| Expected Number of Awards: | |
| Cost Sharing or Matching: | Yes |
| Last Updated: | July 13th, 2023 |
- Applicants Eligible for this Grant
- Unrestricted (i.e., open to any type of entity below), subject to any clarification in text field entitled "Additional Information on Eligibility"
- Grant Announcement Contact
- Michelle Leaton
Grantor
[email protected]
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