<jupyter_start><jupyter_text>Run a bunch of sims with the following settings:* demand is always 7 mil, no reason to change it* renewable varies from ~10% - ~70%* flexible varies from ~10% - ~50%* backup power to buy varies from 2 standard deviations to 25 standard deviations (in case model variance is also off)<jupyter_code># still need to make a decision on the pricing points for everything, then I'm ready to run a bunch of sims and be done with
# this
num_runs = 10
renewable_scales = np.linspace(.1, .7, 13)
flexible_scales = np.linspace(.1, .5, 9)
backup_power = np.linspace(0,25, 26)
# just add the desired key-value to these run params to run a sim
run_params = {
    'time_horizon': 730 # run for 2 years
}
m = miniSCOTnotebook()
market_demand = 7000000
path = "./sims/renewable_scales/"
for s in renewable_scales:
    for i in range(num_runs):
        print(path + "renewable_{}_{}".format(s,i))
        sys.stdout = path + "renewable_{}_{}".format(s,i)
        run_params['renewable_scale'] = s * market_demand
        m.start(**run_params)
        m.run()
        sys.stdout.close()<jupyter_output>DEBUG:scse.profiles.profile:Open profile file = /home/cperreault/scse1/lib/python3.7/site-packages/scse/profiles/power_supply.json.
DEBUG:scse.profiles.profile:module_name is scse.metrics.power_contract_profit
DEBUG:scse.profiles.profile:module_name is scse.modules.production.renewables_firm
DEBUG:scse.profiles.profile:module_name is scse.modules.production.cheap_ramp_firm
DEBUG:scse.profiles.profile:module_name is scse.modules.production.expensive_ramp_firm
DEBUG:scse.profiles.profile:module_name is scse.modules.demand.power_demand
INFO:GP:initializing Y
INFO:GP:initializing inference method
INFO:GP:adding kernel and likelihood as parameters
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