@article {pub4159,
	title = {Evaluation of Optimization-based EV Charging Scheduling with Load Limit in a Realistic Scenario},
	author = {Steffen Limmer},
	year = {2019},
	month = {December},
	abstract = {In the literature, optimization-based approaches are frequently proposed for the control of electric vehicle charging. However, they are usually evaluated under simplifying assumptions
and are not compared to more simple approaches. The present work compares optimization-based approaches with rule-based ones in a simple but realistic scenario, in which a certain limit for
the total load has to be satisfied. The scenario is based on the situation at an office building in Germany. In simulation experiments, different control approaches are not only evaluated in terms of pure performance, but also from an economic perspective. The results indicate that although the optimization-based approaches outperform the rule-based approaches, they are not always the right choice from an economic point of view.},
	publisher = {MDPI},
	journal = {Energies},
	volume = {12},
	number = {24}
}