  Future electricity consumption is fundamentally uncertain and dependent on
many variables such as economic activity, weather, electricity rates and demand
side management. The stochasticity of system load as well as power generation
from renewable energy sources (RES) (i.e., wind and solar) poses special
challenges to power system planners. Increasing penetration levels of wind and
solar exacerbate the uncertainty and variability that must be addressed in
coming years, and can be extremely relevant to power system planners. With this
paper, pathways for multivariate dependence modeling using vine copula is
proposed which includes both electrical load and power generation from RES.
