Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data-Reference-Cited by-同舟云学术

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Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data

Published:2023-12-15 Issue: Volume: Page:1824-1834
ISSN:
Container-title:2023 IEEE International Conference on Big Data (BigData)
language:
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Author:

Sharma Ankita¹,Li Xuanmao²,Guan Hong¹,Sun Guoxin²,Zhang Liang³,Wang Lanjun⁴,Wu Kesheng¹,Cao Lei³,Zhu Erkang⁵,Sim Alexander¹,Wu Teresa²,Zou Jia¹

Affiliation:

1. Lawrence Berkeley National Lab

2. Arizona State University

3. University of Arizona

4. Tianjin University

5. Microsoft

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385234/10386078/10386931.pdf?arnumber=10386931

Reference32 articles.

1. U.S. energy consumption by source and sector, 2022

2. Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives

3. Auto-transform

4. Auto-pipeline

5. Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. To prompt or not to prompt: Navigating the use of Large Language Models for integrating and modeling heterogeneous data;Data & Knowledge Engineering;2024-07

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