Article Versions Notes

Zhao Z, Wang M, Wei J, Cen X, Du S, Wu Z, Liu H, Wang W. Interpretable Machine Learning for Multi-Energy Supply Station Revenue Forecasting: A SHAP-Driven Framework to Accelerate Urban Carbon Neutrality. Energies. 2025; 18(7):1624. https://doi.org/10.3390/en18071624

Zhao, Zhihui, Minjuan Wang, Jin Wei, Xiao Cen, Shengnan Du, Ziwen Wu, Huanying Liu, and Weiqiang Wang. 2025. "Interpretable Machine Learning for Multi-Energy Supply Station Revenue Forecasting: A SHAP-Driven Framework to Accelerate Urban Carbon Neutrality" Energies 18, no. 7: 1624. https://doi.org/10.3390/en18071624

Zhao, Z., Wang, M., Wei, J., Cen, X., Du, S., Wu, Z., Liu, H., & Wang, W. (2025). Interpretable Machine Learning for Multi-Energy Supply Station Revenue Forecasting: A SHAP-Driven Framework to Accelerate Urban Carbon Neutrality. Energies, 18(7), 1624. https://doi.org/10.3390/en18071624