On the aggregation of input data for energy system models

Abstract The increasing share of variable renewable energy sources in power systems poses new challenges to policy makers and network planners alike because the sources’ variability insufficient storage capability. This requires development optimization models that consider inter-temporal connection between different periods aggregating them on a more general level (e.g., days or weeks). However, aggregation are often empirical based common clustering algorithms. In this paper, we carry out numerical exploration relationship structure system hyperparameters required for these procedures. Our findings indicate there is valuable information from can be used improve aggregation. important because, most cases, accuracy cannot measured exactly.