This preprint has been withdrawn
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This version is not peer-reviewed.

Withdrawn: Optimizing Smart Grid Load Forecasting via a Hybrid LSTM-XGBoost Framework: Enhancing Accuracy, Robustness, and Energy Management

A peer-reviewed version of this preprint was published in:
Energies 2025, 18(11), 2842. https://doi.org/10.3390/en18112842
Withdrawal Statement
The preprint has been withdrawn.

Submitted:

23 May 2025

Posted:

26 May 2025

Withdrawn:

24 July 2025

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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.