A solar irradiance forecasting model using iterative filtering and bidirectional long short-term memory-Reference-Cited by-同舟云学术

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A solar irradiance forecasting model using iterative filtering and bidirectional long short-term memory

Published:2024-06-26 Issue:1 Volume:46 Page:8202-8222
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Singla Pardeep¹^ORCID,Saroha Sumit²^ORCID,Duhan Manoj³,Shekher Vineet⁴^ORCID,Singh Kalyan²^ORCID

Affiliation:

1. Department of Electronics and Communication Engineering, Panipat Institute of Engineering and Technology, Panipat, India

2. Department of Electrical and Electronics Engineering, Guru Jambheshwar University of Science and Technology, Hisar, India

3. Department of Electronics and Communication Engineering, Deenbandhu Chhotu Ram University of Science and Technology, Sonepat, India

4. Department of Electrical and Electronics Engineering, BIT Sindri, Dhanbad, India

Funder

not supported by any funding agency

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2024.2370335

Reference38 articles.

1. Deep learning based long-term global solar irradiance and temperature forecasting using time series with multi-step multivariate output

2. Comparative optimization of global solar radiation forecasting using machine learning and time series models

3. Hourly and sub-hourly ahead global horizontal solar irradiation forecasting via a novel deep learning approach: A case study

4. Forecasting of solar radiation using different machine learning approaches

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