Data Decomposition Strategy to Improve Solar Forecasting Accuracy-Reference-Cited by-同舟云学术

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Data Decomposition Strategy to Improve Solar Forecasting Accuracy

Published:2023-11-28 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 9th IEEE India International Conference on Power Electronics (IICPE)
language:
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Author:

Singla Pardeep¹^ORCID,Kaushik Vikas²^ORCID,Duhan Manoj²^ORCID,Saroha Sumit³^ORCID

Affiliation:

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

2. Deenbandhu Chhotu Ram University of Science and Technology,Department of Electronics and Communication Engineering,Sonipat,Haryana

3. Guru Jambheshwar University of Science and Technology,Department of Electrical Engineering,Hisar,Haryana

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10474596/10474612/10474655.pdf?arnumber=10474655

Reference23 articles.

1. An integrated framework of robust local mean decomposition and bidirectional long short-term memory to forecast solar irradiance

2. A point and interval forecasting of solar irradiance using different decomposition based hybrid models

3. Solar photovoltaic generation forecasting methods: A review

4. A comprehensive review and analysis of solar forecasting techniques

5. Forecasting of Market Clearing Volume Using Wavelet Packet-Based Neural Networks with Tracking Signals

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