BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems

This book presents the details of the BONUS algorithm and its real world applications in areas like sensor placement in large scale drinking water networks, sensor placement in advanced power systems, water management in power systems, and capacity expansion of energy systems. A generalized method f...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Diwekar, Urmila (Συγγραφέας), David, Amy (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2015.
Σειρά:SpringerBriefs in Optimization,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 1. Introduction
  • 2. Uncertainty Analysis and Sampling Techniques
  • 3. Probability Density Functions and Kernel Density Estimation
  • 4. The BONUS Algorithm
  • 5. Water Management under Weather Uncertainty
  • 6. Real Time Optimization for Water Management
  • 7. Sensor Placement under Uncertainty for Power Plants
  • 8. The L-Shaped BONUS Algorithm
  • 9. The Environmental Trading Problem
  • 10. Water Security Networks
  • References
  • Index.