CAPOW
type: Ontology
creation date: 2026-08-17T03:53:57+02:00
imports: http://semantic-mediawiki.org/swivt/1.0

CAPOW
type: Subject
type: Category:Model
page: https://wiki.openmod-initiative.org/wiki/CAPOW
wiki namespace: 0
author institution: North Carolina State University
authors: Jordan Kern, Yufei Su
citation doi: https://doi.org/10.1016/j.envsoft.2020.104667
citation references: 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
contact persons: Jordan Kern
data availability: all
decisions: dispatch
deterministic: Short-term and long-term stochastics are available
full model name: California and West Coast Power Systems model
georesolution: Zonal
is suited for many scenarios: true
license: MIT license (MIT)
math modeltype: Simulation
math modeltype shortdesc: Iterative mixed-integer program, with user defined operating horizon
math objective: Cost minimization
model class: CAISO and Mid-Columbia markets/U.S. West Coast
model source public: true
modelling software: Python (Pyomo)
network coverage: transmission
open future: false
open source licensed: true
sectors: Electric power
source download: CAPOW PY36
technologies: Renewables
technologies: Conventional Generation
text description: 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.
timeresolution: Hour
website: kern.wordpress.ncsu.edu
wiki page creation date: 2020-03-19T16:55:36Z
creation date#aux: 2458928.2052778
wiki page last editor: User:Jordan Kern
wiki page modification date: 2020-03-19T16:55:36Z
modification date#aux: 2458928.2052778
wiki page is new: true
wiki page sort key: CAPOW