Publications by authors named "William A Young"
Environ Monit Assess
July 2017
Article Synopsis
- Demand forecasting is essential for effective resource management, especially for water due to its scarcity, and involves using various soft computing techniques.
- This study focuses on methods like artificial neural networks (ANNs), fuzzy logic, and support vector machines for water demand forecasting published between 2005 and 2015, highlighting that ANNs often perform best in short-term scenarios.
- While multiple methods exist, there's potential for further advancements in water demand forecasting through more diverse soft computing approaches, including deep learning and ensemble methods.
