Solar energy prediction through machine learning models: A comparative analysis of regressor algorithms

PLoS ONE, Год журнала: 2025, Номер 20(1), С. e0315955 - e0315955

Опубликована: Янв. 2, 2025

Solar energy generated from photovoltaic panel is an important source that brings many benefits to people and the environment. This a growing trend globally plays increasingly role in future of industry. However, it intermittent nature potential for distributed system use require accurate forecasting balance supply demand, optimize storage, manage grid stability. In this study, 5 machine learning models were used including: Gradient Boosting Regressor (GB), XGB (XGBoost), K-neighbors (KNN), LGBM (LightGBM), CatBoost (CatBoost). Leveraging dataset 21045 samples, factors like Humidity, Ambient temperature, Wind speed, Visibility, Cloud ceiling Pressure serve as inputs constructing these solar energy. Model accuracy meticulously assessed juxtaposed using metrics such coefficient determination (R 2 ), Root Mean Square Error (RMSE), Absolute (MAE). The results show model emerges frontrunner predicting energy, with training values R value 0.608, RMSE 4.478 W MAE 3.367 testing 0.46, 4.748 3.583 W. SHAP analysis reveal ambient temperature humidity have greatest influences on panel.

Язык: Английский

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First-principles calculations to investigate vanadium-doped Li2Te compound for optoelectronic and spintronic applications

Optical and Quantum Electronics, Год журнала: 2025, Номер 57(2)

Опубликована: Янв. 29, 2025

Язык: Английский

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Enhanced Cardiovascular Diagnostics Using Wearable ECG and Bioimpedance Monitoring with LightGBM Classifier

Biosensors and Bioelectronics X, Год журнала: 2025, Номер unknown, С. 100617 - 100617

Опубликована: Март 1, 2025

Язык: Английский

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Machine learning research advances in energy storage polymer-based dielectrics

Computational Materials Science, Год журнала: 2025, Номер 249, С. 113651 - 113651

Опубликована: Янв. 11, 2025

Язык: Английский

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Comprehensive Flexible Framework for Using Multi-Machine Learning Methods to Optimal Dynamic Transient Stability Prediction by Considering Prediction Accuracy and Time

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104728 - 104728

Опубликована: Март 1, 2025

Язык: Английский

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Exploring molecular interactions and dielectric relaxation in n-octanol/DMF binary mixtures: a machine learning-enhanced VNA study

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Год журнала: 2025, Номер 339, С. 126271 - 126271

Опубликована: Апрель 19, 2025

Язык: Английский

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Machine learning-assisted prediction and optimization of dielectric properties in epoxy resin nanocomposites

Macromolecular Research, Год журнала: 2025, Номер unknown

Опубликована: Май 13, 2025

Язык: Английский

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Hybrid machine learning models for nanocomposite drilling fluid viscosity optimization

Geosystem Engineering, Год журнала: 2025, Номер unknown, С. 1 - 23

Опубликована: Май 17, 2025

Язык: Английский

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Feasibility study of micro-machining on micro-EDM for PMMA/MWCNT/Ag hybrid nanocomposites: synthesis and characterization

Journal of Polymer Research, Год журнала: 2025, Номер 32(6)

Опубликована: Май 21, 2025

Язык: Английский

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Modeling CO ₂ solubility in polyethylene glycol polymer using data driven methods

Separation Science and Technology, Год журнала: 2025, Номер 60(11), С. 1451 - 1470

Опубликована: Июнь 1, 2025

Язык: Английский

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