]> 2026-04-16T18:18:41+02:00 CAPOW 0 Jordan Kern, Yufei Su https://doi.org/10.1016/j.envsoft.2020.104667 Su, Y., Kern, J., Denaro, S., Hill, J., Reed, P., Sun, Y., Cohen, J., Characklis, G. (2020). “An open source model for quantifying risks in bulk electric power systems from spatially and temporally correlated hydrometeorological processes” Environmental Modelling and Software. Vol. 126 Jordan Kern all dispatch Short-term and long-term stochastics are available California and West Coast Power Systems model Zonal true MIT license (MIT) Simulation Iterative mixed-integer program, with user defined operating horizon Cost minimization CAISO and Mid-Columbia markets/U.S. West Coast true Python (Pyomo) transmission false true Electric power Renewables Conventional Generation Python-based multi-zone unit commitment/economic dispatch model of CAISO and Mid-C markets coupled with "stochastic engine" for representing effects of multiple spatiotemporally correlated hydrometeorological processes on demand, hydropower and wind and solar power production. Hour 2020-03-19T16:55:36Z 2458928.2052778 2020-03-19T16:55:36Z 2458928.2052778 true CAPOW