A Hierarchical Hybrid Deep-Net Framework for Water Demand Forecasting Using OPHO Optimization and Deep Learning Techniques
Crossref DOI link: https://doi.org/10.1007/s40996-024-01717-x
Published Online: 2025-01-24
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Jeyavelu, Subha
Mohan, Kowsigan
Text and Data Mining valid from 2025-01-24
Version of Record valid from 2025-01-24
Article History
Received: 28 May 2024
Accepted: 28 December 2024
First Online: 24 January 2025
Declarations
:
: The authors declare that we have no conflict of interest.