Lecture

Optimal Control: Hydropower Management

Related lectures (31)

Discusses correcting errors in measurements through mathematical expressions and optimization techniques.

Introduction to Optimization and Operations Research

Covers fundamental concepts of optimization and operations research, exploring real-world examples and key topics over a semester.

Energy Systems Optimization

Explores energy systems modeling, optimization, and cost analysis for efficient operations.

Optimization in Energy Systems

Explores optimization in energy systems, focusing on decision-making through objective functions and constraints to determine system states.

Formulation, Modeling: Château Laupt-Himum

Discusses a case study on wine production at Château Laupt-Himum.

Modeling Introduction: Control System Design

Explores the importance of simple yet effective mathematical models in control system design.

Energy optimization strategies

Covers brainstorming options for smart operation changes, heat recovery, and PV panel performance.

Edge IoT Sensors Optimization and Business Model

Explores optimizing edge IoT sensors and developing business models for IoT products, with a focus on wearables.

Optimization Methods: Theory Discussion

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

Optimization Principles

Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.

Linear Programming: Optimization and Duality

Introduces linear programming, optimization, and duality concepts with a focus on the simplex method and practical examples.

ALM with Inequalities: Next Steps in Optimization

Explores the Augmented Lagrangian Method with equality and inequality constraints in optimization, emphasizing the importance of slack variables.

Optimization with Constraints: KKT Conditions

Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.

Introduction to Optimization

Covers the basics of optimization, including historical perspectives, mathematical formulations, and practical applications in decision-making problems.

Simplex Algorithm: Basics

Introduces the Simplex algorithm for solving flow problems and handling negative cost cycles.

Linear Programming: Weighted Bipartite Matching

Covers linear programming, weighted bipartite matching, and vertex cover problems in optimization.

Energy Systems Modeling and Optimization

Explores energy system modeling, optimization, infrastructure development, and technology assessment for long-term energy planning.

Semi-Definite Programming

Covers semi-definite programming and optimization over positive semidefinite cones.

Linear Programming: Solving LPs

Covers the process of solving Linear Programs (LPs) using the simplex method.

Linear Optimization Techniques: Problem Solving Approaches

Provides an overview of linear optimization techniques, focusing on problem-solving methods and the importance of constraints and objective functions.