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SUMMARY:Efficient River Management using Stochastic MPC and Ensemble Forec
 ast of Uncertain In-flows
DTSTART:20191206T101500
DTEND:20191206T110000
DTSTAMP:20260406T172916Z
UID:5c3ef2bc1e0dc73ca1f9fc417f78e376f12529879b5fb713e3237f36
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Hasan Arshad Nasir\nEfficient river management is essent
 ial in improving water resource utilisation. However\, river flows and wat
 er-levels are affected by unregulated in- and out-flows. Therefore\, it is
  important to consider the forecasts of these unregulated flows and the un
 certainties in the forecasts. The presentation will describe control and 
 modelling tools from the literature that suit the river management problem
 . Specifically\, a scenario-based Stochastic Model Predictive Control (MPC
 ) strategy\, that makes use of ensemble forecast of unregulated flows\, is
  proposed\, where the ensemble forecast contains multiple flow scenarios 
 to characterise future flows and their uncertainties.\n\n\nBio: Hasan A. 
 Nasir received his bachelors degree in electrical engineering from NUST\, 
 Islamabad\, in 2009\, his masters degree in computer engineering from the 
 LUMS\, Lahore\, in 2011\, and a Ph.D. degree from The University of Melbou
 rne\, Melbourne\, Australia\, in 2016. He is currently working as an Assi
 stant Professor at the School of Electrical Engineering and Computer Scien
 ce (SEECS)\, NUST\, Pakistan. His research interests include system identi
 fication and optimisation-based control\, with water and power systems as 
 the application areas.  \n\n 
LOCATION:ME C2 405 https://plan.epfl.ch/?room==ME%20C2%20405
STATUS:CONFIRMED
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