Articles | Volume 386
https://doi.org/10.5194/piahs-386-147-2024
https://doi.org/10.5194/piahs-386-147-2024
Post-conference publication
 | 
19 Apr 2024
Post-conference publication |  | 19 Apr 2024

Development of model predictive controls for flood control and power generation of reservoir cascade in Mahaweli basin, Sri Lanka to mitigate energy and economic crisis provoked by the COVID-19 pandemic

Ranapura Dewage Thilini Kaushalya, Sajana Pramudith Hemakumara, Selvarajah Hemakanth, and Seenipellage Chaminda Sugeeshwara

Viewed

Total article views: 111 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
89 17 5 111 4 4
  • HTML: 89
  • PDF: 17
  • XML: 5
  • Total: 111
  • BibTeX: 4
  • EndNote: 4
Views and downloads (calculated since 19 Apr 2024)
Cumulative views and downloads (calculated since 19 Apr 2024)

Viewed (geographical distribution)

Total article views: 102 (including HTML, PDF, and XML) Thereof 102 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 19 May 2024
Download
Short summary
This research investigates the ability to optimize water resources and energy production in Sri Lanka's Mahaweli basin amidst challenges of floods and economic strains from COVID-19. By developing model predictive controls, it offers sustainable solutions for efficient water management and renewable energy utilization, strengthening resilience in the basin against natural disasters and economic uncertainties. The insights gained are valuable and applicable to similar regions worldwide.