A data-driven approach to assessing and improving stochastic residential load modeling for district-Level simulations and PV integration Universiteit Gent
This paper presents an assessment and improvement of stochastic load modeling for district-level analyses with integration of photovoltaic panels (PV), by comparison with measurement data. Stochastic load profiles for individual households were produced using the bottom-up ‘Stochastic Residential Occupancy Behavior’ (StROBe) model. The self-consumption of households with PV installations and the district-level peak demand are examined as ...