Machine learning-based prediction of heating values in municipal solid waste

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 26, 2025

In this research, our objective was to utilize different machine learning techniques, such as XGBoost, Extra Trees, CatBoost, and Multiple Linear Regression (MLR), model the heating values of municipal solid waste. The input parameters considered for constructed models included weight dry sample (kg) content carbon (C), hydrogen (H), oxygen (O), nitrogen (N), sulfur (S), ash in kg. Trees model, fine-tuned hyperparameters, demonstrated outstanding performance, achieving R2 0.999 training set 0.979 testing set. Notably, has shown robust accuracy, evidenced by a low Mean Squared Error (MSE) 77,455.92 on dataset. Furthermore, Absolute (MAE) Percentage (MAPE) were 245.886 16.22%, respectively, further proving model's substantial predictive accuracy reliability. Although XGBoost CatBoost strong capabilities with high values, outperformed them significantly lower error metrics. On contrary, MLR, utilized conventional technique, moderate suggesting distinct trade-off between explanatory power accuracy. feature importance examination optimal emerged most impactful factor, succeeded content, descending hierarchy significance.

Language: Английский

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Temperature-induced atomic intrinsic sites evolution during waste dyeing sludge into the wealthy iron-based catalyst to sustainable decontamination

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 494, P. 138491 - 138491

Published: May 4, 2025

Language: Английский

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Waste management and water quality evaluation prediction in urban environments through advanced robust hybrid machine learning algorithms

Dynamics of Atmospheres and Oceans, Journal Year: 2024, Volume and Issue: unknown, P. 101495 - 101495

Published: Sept. 1, 2024

Language: Английский

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Anaerobic acidification membrane bioreactor operating at acidic condition for treating concentrated municipal wastewater: Performance and implication

Bioresource Technology, Journal Year: 2024, Volume and Issue: 399, P. 130644 - 130644

Published: March 27, 2024

Language: Английский

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Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 501, P. 157631 - 157631

Published: Nov. 12, 2024

Language: Английский

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Recent progress in 2D-MXene-based membranes for water treatments; fabrication, properties, and advanced desalination application

Desalination, Journal Year: 2024, Volume and Issue: unknown, P. 118462 - 118462

Published: Dec. 1, 2024

Language: Английский

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Effect of salinity on anaerobic fermentation gas production behaviors of the thermal pretreated fruit waste

Journal of Material Cycles and Waste Management, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 14, 2024

Language: Английский

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Novel insights into fouling mechanisms in anaerobic acidification membrane bioreactor: The leading role of pH value

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: unknown, P. 130219 - 130219

Published: Oct. 1, 2024

Language: Английский

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Investigating the impacts of groundwater and anisotropy on thermal-hydro-mechanical coupling with multi-dimensional analysis

Water Research, Journal Year: 2024, Volume and Issue: 268, P. 122715 - 122715

Published: Nov. 1, 2024

Language: Английский

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Spatial analysis techniques for assessing groundwater vulnerability: a strategic approach to proactive conservation and mitigation strategies

Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 83(22)

Published: Nov. 1, 2024

Language: Английский

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