Parallel boosting neural network with mutual information for day-ahead solar irradiance forecasting Article Swipe

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Ubaid Ahmed , Anzar Mahmood , Ahsan Raza Khan , Levin Kuhlmann , Khurram Saleem Alimgeer , Sohail Razzaq , Imran Aziz , Amin Hammad ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1038/s41598-025-95891-1

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Computer Science

Boosting (Machine Learning)

Artificial Intelligence

Data Mining

Decision Tree

Feed Forward (Control)

Feedforward Neural Network

Engineering

Control Engineering

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Computer science Boosting (machine learning) Random forest Gradient boosting Feature selection Solar irradiance Artificial neural network Machine learning Artificial intelligence Mean absolute percentage error Data mining Decision tree Information gain ratio Feed forward Feedforward neural network Engineering Geology Control engineering Atmospheric sciences

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Type: article
Language: en
Landing Page: https://doi.org/10.1038/s41598-025-95891-1
PDF: https://www.nature.com/articles/s41598-025-95891-1.pdf
OA Status: gold
Cited By: 1
References: 33
Related Works: 10
OpenAlex ID: https://openalex.org/W4409178291

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DOI: https://doi.org/10.1038/s41598-025-95891-1

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Title: Parallel boosting neural network with mutual information for day-ahead solar irradiance forecasting

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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: 2025-04-04

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Authors: Ubaid Ahmed, Anzar Mahmood, Ahsan Raza Khan, Levin Kuhlmann, Khurram Saleem Alimgeer, Sohail Razzaq, Imran Aziz, Amin Hammad

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Landing page: https://doi.org/10.1038/s41598-025-95891-1

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PDF URL: https://www.nature.com/articles/s41598-025-95891-1.pdf

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Concepts: Computer science, Boosting (machine learning), Random forest, Gradient boosting, Feature selection, Solar irradiance, Artificial neural network, Machine learning, Artificial intelligence, Mean absolute percentage error, Data mining, Decision tree, Information gain ratio, Feed forward, Feedforward neural network, Engineering, Geology, Control engineering, Atmospheric sciences

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Cited by: 1

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