Covers the basics of optimization, including historical perspectives, mathematical formulations, and practical applications in decision-making problems.
Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.
Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
Explores optimization in energy systems, focusing on decision-making through objective functions and constraints to determine system states.
