Abstract
An increasing number of Model Predictive Control (MPC) tools have recently been developed. These MPC methods utilize as input a wide range of rainfall forecasts, which differ in their characteristics and prediction skills. Operators need to identify the most appropriate MPC and rainfall forecast for their needs. A domain-based framework is proposed to distinguish between four operational domains, which consider the magnitude of the forecasted rain and the expected status of the system. The framework is presented by using selected Danish case studies as examples, and it will provide a support to operators in the implementation of MPC strategies.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 12th IWA Specialized Conference on Instrumentation, Control and Automation |
| Place of Publication | Québec, Canada |
| Publisher | IWA Publishing |
| Publication date | 2017 |
| Pages | 149-157 |
| Publication status | Published - 2017 |
| Event | 12th IWA Specialized Conference on Instrumentation, Control and Automation - Quebec, Canada Duration: 11 Jun 2017 → 14 Jun 2017 Conference number: 12 |
Conference
| Conference | 12th IWA Specialized Conference on Instrumentation, Control and Automation |
|---|---|
| Number | 12 |
| Country | Canada |
| City | Quebec |
| Period | 11/06/2017 → 14/06/2017 |
Keywords
- Model predictive control
- Uncertainty
- Multi objective optimization
- Water smart cities