cost[4][i]=dc.dcCosti(1)
cost[5][i]=dc.dcCosti(2)
cost[6][i]=bk.bgCost()
totalcost[t]=hvac.userComfCost()+dc.dcCost()+bk.bgCost()
################################################
#plt.plot(totalcost)
nmub.saveFile('baseline2.p',totalcost)
baseline1=np.zeros(100)
baseline2=np.zeros(100)
dane=np.zeros(100)
baseline1=nmub.loadFile('baseline1.p',baseline1)
baseline2=nmub.loadFile('baseline2.p',baseline2)
dane=nmub.loadFile('DANE.p',dane)
plt.plot(baseline1,label='Baseline 1')
plt.plot(baseline2,label='Baseline 2')
plt.plot(dane,label='DANE')
plt.legend(loc=1)
def plot_lines(datas, numb_of_line, markerstyle, labels, title ):
for line in range(numb_of_line):
plt.plot(datas[line], marker = markerstyle, markersize=4, label=labels[line])
plt.legend(loc=1)
plt.title(title)
plt.show()
import numpy as np
from scipy import optimize
from scipy.optimize import fsolve
import matplotlib.pyplot as plt
import unNormalizedMUB as umub
baseline1=np.zeros(100)
DANE=np.zeros(100)
baseline1=umub.loadFile('baseline.p',baseline1)
DANE=umub.loadFile('DANE.p',baseline1)
baesline2=umub.loadFile('baseline2.p',baseline2)
plt.plot(baseline1,marker = '+', markersize=4, label='Baseline 1')
plt.plot(DANE,color='r',marker = 'o', markersize=4, label='DANE 1')
plt.plot(baseline2,marker = '+', markersize=4, label='Baselin 2')
plt.legend(loc=1)
# bk=nmub.bkGen(omega[2])
# dc =nmub.DC([2.5,4.,4.],[2000,2000,2000],omega[1],omega_sla,omega_wat)
# mub=nmub.operator([1,2,3],[1,2,3],100,[1,2,3],[1,2,3],200,omega,2)
# [hvac0,dc0,bk0,energy0,cost0,total]=nmub.MUB([lamb[0][i],lamb[1][i],lamb[2][i]],0,hvac,dc,bk,mub)
# DANE_trace[i]=total[runTime-1]
# [hvac0,dc0,bk0,energy0,cost0,total]=nmub.MUB([lamb[0][i],lamb[1][i],lamb[2][i]],1,hvac,dc,bk,mub)
# baseline1_trace[i]=total[runTime-1]
# [hvac0,dc0,bk0,energy0,cost0,total]=nmub.MUB([lamb[0][i],lamb[1][i],lamb[2][i]],2,hvac,dc,bk,mub)
# baseline2_trace[i]=total[runTime-1]
data=[DANE_trace,baseline1_trace,baseline2_trace]
#data=nmub.saveFile('data_plot.p',data)
# nmub.saveFile('DANE_trace.p',DANE_trace)
# nmub.saveFile('baseline1_trace.p',baseline1_trace)
# nmub.saveFile('base2.p',baseline2_trace)
# DANE_trace=nmub.loadFile('DANE_trace.p',DANE_trace)
# baseline1_trace=nmub.loadFile('baseline2_trace.p',baseline1_trace)
# baseline2_trace=nmub.loadFile('base2.p',baseline2_trace)
data=nmub.loadFile('data_plot.p',data)
print(data)
ls=['-','--','--']
markerstyle=['^','d','o']
title=''
labels=['DANE','Baseline 1','Baseline 2']
pltmub.plot_lines(data, 3, ls,markerstyle,6, title, labels, 'Time slots', 'Total cost',1,'total_trace')
