Introduces a course on optimizing energy systems using computer-aided decision-making for efficient design and operation.
Discusses key performance indicators for energy systems, emphasizing the importance of considering various factors for evaluating system efficiency and sustainability.
Explores optimization in energy systems, focusing on decision-making through objective functions and constraints to determine system states.
Covers methods for solving nonlinear optimization problems, including direct search, Newton-Raphson, and branch and bound.
