Smart Forecasting and Clustering of Renewable Energy Capabilities for Smart Grid Planning by Using Machine Learning Model

Yağmur Şan; Ercan Şenyiğit

Smart Forecasting and Clustering of Renewable Energy Capabilities for Smart Grid Planning by Using Machine Learning Model

Authors

Yağmur Şan Department of Industrial Engineering, Faculty of Engineering, Erciyes University, Kayseri, Turkey. https://orcid.org/0000-0002-7322-4297 Author
Ercan Şenyiğit Department of Industrial Engineering, Faculty of Engineering, Erciyes University, Kayseri, Turkey. https://orcid.org/0000-0002-9388-2633 Author

Keywords:

Renewable energy; Energy efficiency; Gaussian Mixture Model (GMM); Holt’s Linear Trend method

Abstract

The quick switch to renewable energy has become essential for powering smart cities ...

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Published

2026-07-13

How to Cite

Şan, Y., & Şenyiğit, E. (2026). Smart Forecasting and Clustering of Renewable Energy Capabilities for Smart Grid Planning by Using Machine Learning Model. Journal of Urban Intelligence and Smart Systems, 1, 28-44. https://juiss.org/index.php/juiss/article/view/317