Submission information
Submission Number: 201
Submission ID: 5259
Submission UUID: fa999e14-73fa-49b9-ae88-4e30ed303ec5
Submission URI: /form/project
Created: Tue, 04/22/2025 - 11:37
Completed: Tue, 04/22/2025 - 11:37
Changed: Tue, 04/22/2025 - 11:38
Remote IP address: 131.128.76.34
Submitted by: Gaurav Khanna
Language: English
Is draft: No
Webform: Project
| Received Sent | 0 |
|---|---|
| Accept and Publish Sent | 0 |
| Project Title | LLMs in Time Series Forecasting |
| Program | CAREERS |
| Project Image | |
| Tags | ai (271), artificial-intelligence (884), llm (837), machine-learning (272) |
| Status | In Progress |
| Project Leader | Drew Zhang |
| zhuzhang@uri.edu | |
| Mentor(s) | Murat Aydogdu |
| Student-facilitator(s) | Naresh Chethala |
| Mentee(s) | |
| Project Description | Time series forecasting predicts future values based on past data, helping in decision-making for businesses, finance, and science. Conventional models struggle with long-term dependencies, missing data, and adapting to large, complex datasets. LLMs excel by capturing deeper relationships, handling vast data, and making more flexible, accurate predictions. This project bridges the gap by combining the reliability of traditional models with the power of LLMs for smarter, more scalable forecasting. |
| Project Deliverables | |
| Project Deliverables | |
| Student Research Computing Facilitator Profile | |
| Mentee Research Computing Profile | |
| Student Facilitator Programming Skill Level | Practical applications |
| Mentee Programming Skill Level | |
| Project Institution | Western New England University |
| Project Address | |
| Anchor Institution | CR-University of Rhode Island |
| Preferred Start Date | |
| Start as soon as possible. | No |
| Project Urgency | Already behind3Start date is flexible |
| Expected Project Duration (in months) | 8 |
| Launch Presentation | |
| Launch Presentation Date | |
| Wrap Presentation | |
| Wrap Presentation Date | |
| Project Milestones | |
| Github Contributions | |
| Planned Portal Contributions (if any) | |
| Planned Publications (if any) | |
| What will the student learn? | |
| What will the mentee learn? | |
| What will the Cyberteam program learn from this project? | |
| HPC resources needed to complete this project? | |
| Notes | |
| What is the impact on the development of the principal discipline(s) of the project? | |
| What is the impact on other disciplines? | |
| Is there an impact physical resources that form infrastructure? | |
| Is there an impact on the development of human resources for research computing? | |
| Is there an impact on institutional resources that form infrastructure? | |
| Is there an impact on information resources that form infrastructure? | |
| Is there an impact on technology transfer? | |
| Is there an impact on society beyond science and technology? | |
| Lessons Learned | |
| Overall results |