Real-time data-processing framework with model updating for digital twins of water treatment facilities

• المؤلفون الرئيسيون: Wei, Yuying, Law, Adrian Wing-Keung, Yang, Chun
• مؤلفون آخرون: School of Civil and Environmental Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Environmental engineering; Real-Time Model Updating; Machine Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/165234

Machine learning (ML) models are now widely used in digital twins of water treatment facilities. These models are commonly trained based on historical datasets, and their predictions serve various important objectives, such as anomaly detection and optimization. While predictions from the trained mo...