This preprint has been withdrawn
Preprint
Article

This version is not peer-reviewed.

Withdrawn: Optimizing Smart Grid Load Forecasting via a Hybrid LSTM-XGBoost Framework: Enhancing Accuracy, Robustness, and Energy Management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

Submitted:

07 May 2025

Posted:

08 May 2025

Withdrawn:

24 July 2025

Read the latest preprint version here

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.