Smart, Resilient Power Systems for Future Smart Cities
Sector: Road • Location: Boca Raton, Florida, United States
Source: Florida Atlantic University
This REU project aims to develop AI-driven methodologies for smart, resilient power systems by leveraging large language models (LLMs) for enhanced situational awareness, anomaly detection, and real-time decision support. The research explores the use of LLMs to interpret grid data, support operators through natural-language guidance, and improve resilience assessments for distribution systems and
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | planned |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | This REU project aims to develop AI-driven methodologies for smart, resilient power systems by leveraging large language models (LLMs) for enhanced situational awareness, anomaly detection, and real-time decision support. The research explores the use of LLMs to interpret grid data, support operators through natural-language guidance, and improve resilience assessments for distribution systems and microgrids serving smart city applications. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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Article Published Date | Obfuscated Data |