BERT (Bidirectional Encoder Representations from Transformers) for Missing Data Imputation in Solar Irradiance Time Series-Reference-Cited by-同舟云学术

BERT (Bidirectional Encoder Representations from Transformers) for Missing Data Imputation in Solar Irradiance Time Series

Published:2023-06-30 Issue: Volume: Page:
ISSN:
Container-title:ITISE 2023
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Short-container-title:

Author:

Cesar Llinet Benavides¹^ORCID,Manso-Callejo Miguel-Ángel¹^ORCID,Cira Calimanut-Ionut¹^ORCID

Affiliation:

1. Departamento de Ingeniería Topográfica y Cartográfica, E.T.S.I. en Topografía Geodesia y Cartografía, Universidad Politécnica de Madrid, C/Mercator 2, 28031 Madrid, Spain

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/39/1/26/pdf

Reference20 articles.

1. Chatfield, C. (2003). The Analysis of Time Series, Chapman and Hall/CRC. [6th ed.].

2. Fang, C., and Wang, C. (2020). Time Series Data Imputation: A Survey on Deep Learning Approaches. arXiv.

3. Imputation of Missing Values in Spatio-Temporal Solar Radiation Data;Glasbey;Environmetrics,1995

4. Layanun, V., Suksamosorn, S., and Songsiri, J. (2017, January 19–22). Missing-Data Imputation for Solar Irradiance Forecasting in Thailand. Proceedings of the 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), Kanazawa, Japan.

5. Missing Value Imputation for Short to Mid-Term Horizontal Solar Irradiance Data;Demirhan;Appl. Energy,2018

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