mirror of
https://github.com/Akkudoktor-EOS/EOS.git
synced 2025-04-19 08:55:15 +00:00
8f1d23fe9d
config.py einstellbar Jeder DisCharge = 0 (Akkus nicht benutzen) wird mit 1Cent Strafe belegt, da die Lastverteilung fehlt. Also wenn es egal ist, soll er den Akku anschalten.
335 lines
6.5 KiB
Python
335 lines
6.5 KiB
Python
from flask import Flask, jsonify, request
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import numpy as np
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from datetime import datetime
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from modules.class_optimize import *
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# from modules.class_load import *
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# from modules.class_ems import *
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# from modules.class_pv_forecast import *
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# from modules.class_akku import *
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# from modules.class_strompreis import *
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# from modules.class_heatpump import *
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# from modules.class_load_container import *
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# from modules.class_eauto import *
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from modules.class_optimize import *
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from pprint import pprint
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import matplotlib.pyplot as plt
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from modules.visualize import *
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from deap import base, creator, tools, algorithms
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import numpy as np
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import random
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import os
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start_hour = 10
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pv_forecast= [
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0,
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0,
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0,
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0,
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0,
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0,
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0,
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8.05499380056326,
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352.906710152794,
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728.510230116837,
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930.282113186742,
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1043.25445504815,
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1106.74498341506,
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1161.69140358941,
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6018.82237954771,
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5519.06508185542,
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3969.87633262384,
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3017.96293205546,
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1943.06957539177,
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1007.17065928121,
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319.672404988219,
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7.87634136648885,
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0,
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0,
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0,
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0,
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0,
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0,
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0,
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0,
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0,
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5.04340865393592,
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335.585179721385,
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705.32093965119,
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1121.11845108965,
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1604.78796905453,
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2157.38417470292,
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1433.25331647539,
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5718.48693381975,
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4553.95522042393,
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3027.5471975751,
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2574.46499468404,
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1720.39712914078,
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963.402827741714,
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383.299960578605,
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0,
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0,
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0
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]
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temperature_forecast= [
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18.3,
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17.8,
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16.9,
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16.2,
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15.6,
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15.1,
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14.6,
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14.2,
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14.3,
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14.8,
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15.7,
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16.7,
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17.4,
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18,
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18.6,
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19.2,
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19.1,
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18.7,
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18.5,
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17.7,
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16.2,
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14.6,
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13.6,
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13,
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12.6,
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12.2,
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11.7,
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11.6,
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11.3,
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11,
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10.7,
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10.2,
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11.4,
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14.4,
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16.4,
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18.3,
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19.5,
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20.7,
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21.9,
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22.7,
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23.1,
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23.1,
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22.8,
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21.8,
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20.2,
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19.1,
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18,
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17.4
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]
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strompreis_euro_pro_wh = [
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0.00033840228,
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0.00033180228,
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0.00032840228,
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0.00032830228,
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0.00032890228,
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0.00033340228,
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0.00032900228,
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0.00033020228,
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0.00030420228,
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0.00024300228,
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0.00022800228,
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0.00022120228,
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0.00020930228,
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0.00018790228,
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0.00018380228,
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0.00020040228,
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0.00021980228,
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0.00022700228,
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0.00029970228,
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0.00031950228,
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0.00030810228,
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0.00029690228,
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0.00029210228,
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0.00027800228,
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0.00033840228,
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0.00033180228,
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0.00032840228,
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0.00032830228,
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0.00032890228,
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0.00033340228,
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0.00032900228,
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0.00033020228,
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0.00030420228,
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0.00024300228,
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0.00022800228,
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0.00022120228,
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0.00020930228,
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0.00018790228,
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0.00018380228,
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0.00020040228,
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0.00021980228,
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0.00022700228,
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0.00029970228,
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0.00031950228,
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0.00030810228,
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0.00029690228,
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0.00029210228,
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0.00027800228
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]
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gesamtlast= [
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676.712691350422,
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876.187995931743,
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527.13496018672,
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468.8832716908,
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531.379343927472,
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517.948592590007,
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483.146247717859,
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472.284832630916,
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1011.67951144825,
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995.004317471209,
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1053.06955100748,
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1063.9080395892,
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1320.56143113193,
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1132.02504127723,
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1163.67246837107,
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1176.81613875329,
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1216.21914051274,
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1103.77675478374,
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1129.12158352941,
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1178.70748410006,
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1050.97894301995,
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988.55813665172,
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912.383030600675,
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704.613809064162,
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516.371536532904,
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868.049462163551,
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694.342395302237,
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608.791374542592,
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556.310160150771,
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488.88509383088,
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506.910948217211,
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804.891484351704,
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1141.97850300923,
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1056.97012155463,
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992.46421110044,
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1155.98941936038,
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827.012550864246,
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1257.97979633947,
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1232.66876472966,
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871.261677859026,
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860.884647456424,
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1158.02879027548,
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1222.71811626233,
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1221.03860924522,
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949.989048056282,
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987.007654562746,
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733.993140774617,
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592.972573276025
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]
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start_solution= [
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1,
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1,
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1,
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1,
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0,
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1,
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0,
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0,
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1,
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1,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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0,
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0,
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0,
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0,
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0,
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0,
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1,
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0,
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0,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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0,
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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1
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]
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parameter= {"preis_euro_pro_wh_akku": 10e-05,'pv_soc': 80, 'pv_akku_cap': 26400, 'year_energy': 4100000, 'einspeiseverguetung_euro_pro_wh': 7e-05, 'max_heizleistung': 1000,"gesamtlast":gesamtlast, 'pv_forecast': pv_forecast, "temperature_forecast":temperature_forecast, "strompreis_euro_pro_wh":strompreis_euro_pro_wh, 'eauto_min_soc': 0, 'eauto_cap': 60000, 'eauto_charge_efficiency': 0.95, 'eauto_charge_power': 11040, 'eauto_soc': 54, 'pvpowernow': 211.137503624, 'start_solution': start_solution, 'haushaltsgeraet_wh': 937, 'haushaltsgeraet_dauer': 0}
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opt_class = optimization_problem(prediction_hours=48, strafe=10,optimization_hours=24)
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ergebnis = opt_class.optimierung_ems(parameter=parameter, start_hour=start_hour)
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#print(ergebnis)
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#print(jsonify(ergebnis)) |