LLMs in Time Series Forecasting

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

Project Title LLMs in Time Series Forecasting

Program CAREERS

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Tags ai (271), artificial-intelligence (884), llm (837), machine-learning (272)

Status In Progress

Project Leader

Project Leader Drew Zhang

Email zhuzhang@uri.edu

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Project Personnel

Mentor(s) Murat Aydogdu

Student-facilitator(s) Naresh Chethala

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Project Information

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.

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Student Facilitator Programming Skill Level Practical applications

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Project Institution Western New England University

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Anchor Institution CR-University of Rhode Island

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Start as soon as possible. No

Project Urgency Already behind3Start date is flexible

Expected Project Duration (in months) 8

Launch Presentation

Naresh_Chethala_Careers_launch.pptx (130.03 KB)

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Final Report

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