Predictive MPC-Based Operation of Urban Drainage Systems Using Input Data-Clustered Artificial Neural Networks Rainfall Forecasting Models

Predictive MPC-Based Operation of Urban Drainage Systems Using Input Data-Clustered Artificial Neural Networks Rainfall Forecasting Models

The model predictive control (MPC) approach can be implemented in either a reactive (RE-) or predictive (PR-) manner to control the operation of urban drainage systems (UDSs). Previous research focused mostly on the RE-MPC, as the PR-MPC, despite its potential to improve the performance of the UDS o...

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Bibliographic Details
Main Authors: Fatemeh Jafari, S. Jamshid Mousavi, Kumaraswamy Ponnambalam
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Hydrology
Subjects:
urban drainage systems
short-term rainfall forecasting
artificial neural networks
model predictive control
flood control
harmony search optimization
Online Access:https://www.mdpi.com/2306-5338/10/7/139

Internet

https://www.mdpi.com/2306-5338/10/7/139

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