Activity: Talk or presentation types › Conference presentation
Data aggregation is a key technique in modeling real-world energy systems. Considering existent data aggregation techniques in long-term power systems models, we present two methodological contributions: the use of a statistically consistent metric to evaluate different data aggregation algorithms and an effective novel data aggregation method that maintains the chronological information for making operational decisions. Results indicate improvements in the implementation of large-scale capacity expansion models in power systems using low temporal resolution. Such an enhancement can be especially relevant for modeling systems with increasing amounts of renewable energy production.