# Decentralised water storage model: master file - Neal Hughes
# Chapter 5 model runs
from __future__ import division
import numpy as np
from para import Para
import model
import pickle
para = Para()
para.central_case(N=100, printp=False)
para.set_property_rights(scenario='OA')
para.solve_para()
home = '/home/nealbob'
folder = '/Dropbox/Model/results/chapter5/'
scenarios = ['CS', 'SWA', 'OA', 'NS', 'CS-SL', 'SWA-SL', 'CS-SWA']
results = {scen: 0 for scen in scenarios}
policies = {scen: 0 for scen in scenarios}
for i in range(1):
#try:
para.central_case(N = 100)
para.t_cost = 100000000000
para.aproximate_shares(nonoise=True)
#if i > 0:
# para.randomize(N = 100)
# para.aproximate_shares()
# Decentralised water storage model: master file - for control of multiple model runs. Neal Hughes from __future__ import division import numpy as np import model from para import Para from results import chapter8 from results.chartbuilder import * para = Para(rebuild=True, charts=False) para.central_case(N=100) para.solve_para() para.set_property_rights(scenario='CS') mod = model.Model(para) home = '/home/nealbob' folder = '/Dropbox/Model/results/chapter8/' out = '/Dropbox/Thesis/IMG/chapter8/' SW = [] SWb = [] S = [] TIME = [] m = 5 sp = [False for i in range(m)] t1 = [5000, 10000, 20000, 50000, 80000] t2 = [5000, 10000, 20000, 50000, 80000] d = [0.2] * m """
