Leveraging Large Language Models for Discrepancy Value Prediction in Custody Transfer Systems: A Comparative Analysis of Probabilistic and Point Forecasting Approaches

Leveraging Large Language Models for Discrepancy Value Prediction in Custody Transfer Systems: A Comparative Analysis of Probabilistic and Point Forecasting Approaches

Discrepancies in custody transfer systems in the oil and gas industry pose significant financial, regulatory, and operational risks. Accurate prediction of these discrepancies is critical to optimizing operations and minimizing potential losses. This study evaluates the effectiveness of Large Langua...

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Bibliographic Details
Main Authors: Fiki Hidayat, Arbi Haza Nasution, Fajril Ambia, Dike Fitriansyah Putra, Mulyandri
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Probabilistic time-series forecasting
large language models
discrepancy
custody transfer system
Online Access:https://ieeexplore.ieee.org/document/10964215/
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https://ieeexplore.ieee.org/document/10964215/

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