Commencing-Student Enrolment Forecasting Under Data Sparsity with Time Series Foundation Models | ScienceToStartup | ScienceToStartup

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References (62)

[1]

The Financial Sustainability of Higher Education

2025

[2]

Chronos-2: From Univariate to Universal Forecasting

2025Abdul Fatir Ansari, Oleksandr Shchur et al.

[3]

LGTime: Leveraging LLMs with feature-aware processing and multi-granularity fusion for zero-shot time series forecasting

Founder's Pitch

"Develop a zero-shot forecasting tool using TSFMs to improve enrolment predictions for universities facing data-sparse environments."

Time Series Forecasting•Score: 5•View PDF ↗

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0-10 scale

High Potential

1/4 signals

2.5

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1/4 signals

2.5

Series A Potential

1/4 signals

2.5

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Commencing-Student Enrolment Forecasting Under Data Sparsity with Time Series Foundation Models

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References (62)

Founder's Pitch

"Develop a zero-shot forecasting tool using TSFMs to improve enrolment predictions for universities facing data-sparse environments."

Commercial Viability Breakdown

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Commencing-Student Enrolment Forecasting Under Data Sparsity with Time Series Foundation Models

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References (62)

Founder's Pitch

"Develop a zero-shot forecasting tool using TSFMs to improve enrolment predictions for universities facing data-sparse environments."

Commercial Viability Breakdown

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