Hybrid machine learning approach for short-term load forecasting in smart grids
This research confirms that hybrid ML architectures, combined with rigorous feature engineering and hyperparameter optimization, provide a robust and generalizable solution for STLF, and offers substantial benefits for grid reliability, operational planning, and economic efficiency in the power sector.