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Water Resource Systems: Modeling Techniques and Analysis

Water Resource Systems: Modeling Techniques and Analysis. Instructor: Prof. P. P. Mujumdar, Department of Civil Engineering, IISc Bangalore. The course introduces the concepts of systems techniques in water resources planning and management. Topics covered in this course include Systems Techniques in Water Resources: Optimization with methods using calculus; Linear Programming; Dynamic Programming; Simulation; Combination of Simulation and Optimization; Multi-objective Planning; Reservoir Systems - Deterministic Inflow: Reservoir Sizing; Reservoir Operation - standard operating policy, optimal operating policy; multi-reservoir systems; Reservoir Systems - Random Inflow: Chance Constrained Linear Programming; Concept of Reliability; Stochastic Dynamic Programming; Applications - Reservoir systems operated for Irrigation, Hydropower, Flood Control and Municipal and Industrial Supplies; Water Quality Control in River Systems; Case Studies; Recent Modeling Tools - Artificial Neural networks, Fuzzy Inference Systems; Fuzzy Linear Programming. (from nptel.ac.in)

Lecture 31 - Stochastic Dynamic Programming for Reservoir Operation, Part 1


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Introduction and Optimization
Lecture 01 - Introduction
Lecture 02 - Definitions and Types of Systems
Lecture 03 - Optimization: Functions of a Single Variable
Lecture 04 - Optimization: Functions of Multiple Variables
Lecture 05 - Constrained Optimization
Lecture 06 - Constrained Optimization (cont.)
Lecture 07 - Kuhn-Tucker Conditions and Introduction to Linear Programming
Linear Programming
Lecture 08 - Linear Programming: Graphical Method
Lecture 09 - Linear Programming: Simplex Method
Lecture 10 - Linear Programming: Simplex Method (cont.)
Lecture 11 - Linear Programming: Multiple Solutions
Lecture 12 - Linear Programming: Unbounded and Infeasible Problems
Lecture 13 - Linear Programming: Dual Problem
Dynamic Programming
Lecture 14 - Introduction to Dynamic Programming
Lecture 15 - Dynamic Programming: Water Allocation Problem
Lecture 16 - Dynamic Programming: Reservoir Operation Problem
Lecture 17 - Dynamic Programming: Capacity Expansion and Shortest Route Problems
Simulation and Multi-objective Planning
Lecture 18 - Simulation: Introduction to Multi-objective Planning
Lecture 19 - Multi-objective Planning
Reservoir Systems - Deterministic Inflows
Lecture 20 - Reservoir Sizing
Lecture 21 - Reservoir Capacity using Linear Programming
Lecture 22 - Reservoir Capacity using Linear Programming (cont.)
Lecture 23 - Reservoir Operation
Lecture 24 - Multi-Reservoir Systems
Lecture 25 - Stationary Policy using Dynamic Programming
Lecture 26 - Hydropower Generation
Reservoir Systems - Random Inflows
Lecture 27 - Basic Probability Theory
Lecture 28 - Basic Probability Theory (cont.)
Lecture 29 - Chance Constrained Linear Programming for Reservoir Operation and Design
Lecture 30 - Chance Constrained Linear Programming for Reservoir Operation and Design (cont.)
Lecture 31 - Stochastic Dynamic Programming for Reservoir Operation, Part 1
Lecture 32 - Stochastic Dynamic Programming for Reservoir Operation, Part 2
Lecture 33 - Stochastic Dynamic Programming for Reservoir Operation, Part 3
Fuzzy Optimization
Lecture 34 - Fuzzy Optimization
Lecture 35 - Fuzzy Optimization (cont.)
Lecture 36 - Fuzzy Optimization for Water Quality Control and Reservoir Operation
Model Formulations and Case Studies
Lecture 37 - Conjunctive Use of Ground and Surface Water
Lecture 38 - Hydropower Optimization
Lecture 39 - Crop Yield Optimization
Lecture 40 - Multi-basin and Multi-reservoir Systems