The second of this two-part paper proposes a novel methodology to simulate long-term, high-frequency scenarios for the power demand in each bus of a distribution system. The proposed model generates high-frequency and high-dimensional scenarios, on an hourly basis for each bus of the system, as a function of the low-frequency and low-dimensional scenarios simulated by the first part of this work. Hence, the proposed method relies on a disaggregation procedure that is trained within observed data and applied to long-run simulated scenarios. A case study with real data from the Brazilian power system is presented and relevant conclusions are drawn. We highlight that this method can be useful for a wide range of applications in power systems.
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