A time series forecasting approach based on gradient boosting method for IoT-based solar energy production systems Article Swipe

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Hany A. Abdelsalam , Alireza Souri , Nihat İnanç ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1016/j.enss.2025.04.003

Related Topics

Computer Science

Boosting (Machine Learning)

Time Series

Artificial Intelligence

Machine Learning

Random Forest

Paleontology

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Gradient boosting Computer science Series (stratigraphy) Boosting (machine learning) Time series Artificial intelligence Machine learning Random forest Geology Paleontology

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.enss.2025.04.003
OA Status: diamond
References: 18
Related Works: 10
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OpenAlex ID: https://openalex.org/W4413009126

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DOI: https://doi.org/10.1016/j.enss.2025.04.003

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Title: A time series forecasting approach based on gradient boosting method for IoT-based solar energy production systems

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-08-01

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Authors: Hany A. Abdelsalam, Alireza Souri, Nihat İnanç

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Landing page: https://doi.org/10.1016/j.enss.2025.04.003

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Open access: Yes

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OA status: diamond

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OA URL: https://doi.org/10.1016/j.enss.2025.04.003

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Concepts: Gradient boosting, Computer science, Series (stratigraphy), Boosting (machine learning), Time series, Artificial intelligence, Machine learning, Random forest, Geology, Paleontology

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Cited by: 0

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References (count): 18

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Related works (count): 10

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