P. K. S. Bhadauria

MACHINE LEARNING-BASED WATER DEMAND FORECASTING FOR EFFICIENT WATER CONSERVATION STRATEGIES: A SYSTEMATIC LITERATURE REVIEW

The findings indicate that deep learning and hybrid machine learning frameworks consistently outperform conventional forecasting techniques, particularly in complex environments characterized by high variability and climate uncertainty.