def __init__(self, uuid, name: str):
super(Model, self).__init__(uuid, name)
self.elapsed = 0
self.inputs['time'] = Input(name='Time',
unit='s',
info='utc time in seconds since epoch')
self.outputs['times'] = Output(
name='Futures',
unit='s',
info='utc time array in seconds since epoch')
self.properties["interval"] = Property(
default=1,
data_type=float,
name='Interval time',
unit='s',
info='Time between each time stamps')
self.properties["future_steps"] = Property(
default=1,
data_type=int,
name='Number of intervals',
unit='-',
info='Number of time stamps')
def __init__(self, uuid, name: str):
super(Model, self).__init__(uuid, name)
self.start_time_of_curr_interval = 0
self.start_time_of_next_interval = 0
self.async_future = None
self.outputs['step'] = Output('Step',
unit='-',
info='step number, starts with 0')
self.outputs['time'] = Output('Future',
unit='s',
info='utc time in seconds since epoch')
# control
self.properties['prep_lead'] = Property(
'Time lead of Preperation step',
default=0,
data_type=int,
unit='s',
info=
'Amount of seconds the preparation step is started before the actual interval'
)
self.properties['delta_time'] = Property(
'Real time between each interval run',
default=1,
data_type=int,
unit='s',
info='Real time between iteration, 0 = as fast as possible')
def __init__(self, uuid, name :str):
super(Model, self).__init__(uuid,name)
self.inputs['times'] = Input(name='Times', unit='s', info='utc time array')
self.inputs['values'] = Input(name='Values', unit='any', info='value array')
self.outputs['data_histfore'] = Output(name='Historical and forecast data', unit='div',
info='{time_hist, time_forecast, value_hist, value_forecast}')
self.outputs['y_scaling'] = Output(name='Scaling of y axis', unit='', info='Scaling of y axis')
self.outputs['y_label'] = Output(name='y label', unit='', info='Label of y axis')
self.properties["filter"] = Property(default='', data_type=str, name='Filter',
unit='-', info='comma separated dict keys and array indexes',
example='"speed", 2')
self.properties["num_hist"] = Property(default=0, data_type=int, name='Number historical data', unit='-',
info='Number of historical data to be saved (0=unlimited)', example='100')
self.properties["scaling"] = Property(default=1, data_type=float, name='Scaling factor', unit='-',
info='Scaling factor for y axis', example='1e-9')
self.properties["y_labeling"] = Property(default='Property', data_type=str, name='y label', unit='-',
info='Label for y axis', example='Demand [GW]')
self.data_hist_forecast = {"historic": {}, "forecast": {}}
self.data_hist_forecast["historic"]["time"] = []
self.data_hist_forecast["historic"]["value"] = []
self.data_hist_forecast["forecast"]["time"] = []
self.data_hist_forecast["forecast"]["value"] = []
self.y_scaling = None
self.y_labeling = None
def __init__(self, id, name: str):
# instantiate supermodel
super(Model, self).__init__(id, name)
# define inputs
self.inputs['KW'] = Input(name='KW info', unit='-', info="KW information (u.a. id, lat, lon)")
self.inputs['date'] = Input(name='Futures', unit='s', info="Time vector of futures in utc timestamp [s]")
self.inputs['Demand_loc'] = Input(name='Demand locations', unit='id, lat, long', info="Demand locations (one location per country)")
# define outputs
self.outputs['KW_weather'] = Output(name='Weather data of KWs', unit='dict{id, windspeed, radiation, windmesshoehe}', info='weather data of KWs')
self.outputs['Demand_weather'] = Output(name='Weather data for demand', unit='dict{id, lat, long, temperature}', info='weather data for demand calculation')
self.outputs['Futures_weather'] = Output(name='Weather data', unit='s, °C, m/s, W/m^2', info='weather data for 25 points (time, temperature, wind speed, radiation)')
self.outputs['Map_weather'] = Output(name='Weather data for map', unit='s, °C, m/s, W/m^2',
info='weather data interpolated on grid (time, temperature, wind speed, radiation)')
# define properties
self.properties['T_offset'] = Property(default=0., data_type=float, name='temperature offset', unit='%', info="offset of temperature in %", example='100: doubles the value')
self.properties['u_offset'] = Property(default=0., data_type=float, name='wind speed offset', unit='%', info="offset of wind speed in %", example='100: doubles the value')
self.properties['P_offset'] = Property(default=0., data_type=float, name='radiation offset', unit='%', info="offset of radiation in %", example='100: doubles the value')
self.properties['ref_year'] = Property(default=2007, data_type=int, name='reference year', unit='-', info="reference year for modeled weather (2007-2016; provided data for 2006-2017)",
example='2007')
# define persistent variables
self.data_hist = None
self.ref_year = None
def __init__(self, id, name: str):
# instantiate supermodel
super(Model, self).__init__(id, name)
# define inputs
self.inputs['mode'] = Input(name='modus',
unit='-',
info="modus (is live of not")
self.inputs['KW'] = Input(name='KW info',
unit='-',
info="KW informations (u.a. id, lat, lon)")
self.inputs['date'] = Input(
name='Futures',
unit='s',
info="Time vector of futures in utc timestamp [s]")
# define outputs
self.outputs['KW_weather'] = Output(name='weather data of KWs',
unit='date, °C, m/s, W/m^2',
info='weather data of KWs')
self.outputs['Futures_weather'] = Output(
name='weather data',
unit='date, °C, m/s, W/m^2',
info='(future) weather data (temperature, wind speed, radiation)')
# define properties
self.properties['T_offset'] = Property(
default=0.,
data_type=float,
name='temperature offset',
unit='%',
info="offset of temperature in %")
self.properties['u_offset'] = Property(
default=0.,
data_type=float,
name='wind speed offset',
unit='%',
info="offset of wind speed in %")
self.properties['P_offset'] = Property(default=0.,
data_type=float,
name='radiation offset',
unit='%',
info="offset of radiation in %")
self.properties['ref_year'] = Property(
default=2007,
data_type=int,
name='reference year',
unit='-',
info="reference year for modeled weather")
# define persistent variables
self.data_hist = None
self.data_hist_year = None
self.ref_year = None
def __init__(self, uuid, name: str):
super(Model, self).__init__(uuid, name)
self.inputs['data'] = Input(name='Data', unit='any', info='Data to be published must be convertible to json')
self.properties['host'] = Property(default='iot.eclipse.org', data_type=str, name='Broker Address', unit='-', info='string')
self.properties['port'] = Property(default=1883, data_type=int, name='Broker Port', unit='-', info='int, usually 1883 for MQTT')
self.properties['topic'] = Property(default='pyjamas.db', data_type=str, name='Topic', unit='-', info='string')
self.client = None
self.host = None
self.port = None
self.topic = None
self.keepalive = 60
def __init__(self, uuid, name: str):
super(Model, self).__init__(uuid, name)
self.outputs['text'] = Output('Text')
self.properties['slide_amount'] = Property('Slide Amount',
default=1,
data_type=int)
self.properties['window_size'] = Property('Window Size',
default=10,
data_type=int)
self.properties['full_text'] = Property('Text',
default="Hello World! ",
data_type=str)
self.curr_pos = 0
def __init__(self, id, name: str):
# instantiate supermodel
super(Model, self).__init__(id, name)
# define inputs
self.inputs['dist_net'] = Input(name='Distribution networks',
unit='{-, {Grad, Grad}}',
info='distribution networks')
# define outputs
self.outputs['dist_cost'] = Output(name='Distribution cost',
unit='€/J',
info='distribution cost')
# define properties
cost_constant_def = 36000
cost_constant_def = json.dumps(cost_constant_def)
self.properties['cost_const'] = Property(
default=cost_constant_def,
data_type=str,
name='constant dist cost',
unit='€/km*MWh',
info='constant distribution costs',
example='36000')
# persistent variables
self.cost_constant = None
def __init__(self, id, name: str):
# instantiate supermodel
super(Model, self).__init__(id, name)
# define inputs
self.inputs['Futures'] = Input(name='Futures',
unit='s',
info="Futures")
self.inputs['Staos'] = Input(name='Distribution networks',
unit='-',
info="Distribution networks")
self.inputs['Market_price'] = Input(name='Market price',
unit='€/J',
info="Market price")
self.inputs['KW_data'] = Input(name='KW data',
unit='-',
info="KW data")
self.inputs['Tiers_prices'] = Input(name='Tiers prices',
unit='€/J',
info="Tiers prices")
# define outputs
#self.outputs['KW_weather'] = Output(name='Weather data of KWs', unit='dict{id, windspeed, radiation, windmesshoehe}', info='weather data of KWs')
# define properties
self.properties['date_start'] = Property('Simulation Start (UTC)',
default="2018-01-01 00:00",
data_type=str,
unit='YYYY-MM-DD hh:mm')
self.properties['date_delta_time'] = Property(
'Simulation time increase',
default=1,
data_type=float,
unit='s',
info=
'Amount of seconds the simulation time increases with each iteration'
)
self.properties['date_end'] = Property('Simulation Stop (UTC)',
default="2999-01-01 00:00",
data_type=str,
unit='YYYY-MM-DD hh:mm')
# Define persistent variables
self.date_start = None
self.date_delta = None
self.date_end = None
def __init__(self, uuid, name :str):
super(Model, self).__init__(uuid,name)
self.inputs['number'] = Input('Number', unit='-', info="The number that gets multiplied", example='2')
self.properties['multiplier'] = Property('Multiplier', default=1, data_type=float, unit='float', info='The multiplier', example='2')
self.outputs['product'] = Output('Product', unit='-', info="The resulting product", example='2')
def __init__(self, id, name: str):
# instantiate supermodel
super(Model, self).__init__(id, name)
# define inputs
self.inputs['stock_ex_price'] = Input(name='Stock exchange price', unit='€/J', info="stock exchange price")
self.inputs['distnet_costs'] = Input(name='Distribution network cost', unit='{-, €/J}', info="distribution network cost")
self.inputs['service_cost'] = Input(name='Service cost', unit='€/J', info="service cost")
self.inputs['taxes'] = Input(name='Taxes', unit='€/J', info="taxes")
self.inputs['futures'] = Input(name='Futures', unit='s', info="Futures")
# define outputs
self.outputs['el_rate'] = Output(name='Electricity rate', unit='€/J', info='electricity rate')
self.outputs['times'] = Output(name='Times', unit='s', info='Times')
self.outputs['y_scaling'] = Output(name='Scaling of y axis', unit='', info='Scaling of y axis')
self.outputs['y_unit'] = Output(name='Unit of y axis', unit='', info='Unit of y axis')
self.outputs['y_label'] = Output(name='y label', unit='', info='Label of y axis')
# define properties
ET_def = {"location": ["Baden"],
"border": [[-1.0, -0.5, -0.2, 0.0, 0.2, 0.5, 1.0]],
"weight": [[-0.3, -0.6, -0.8, 1.1, 1.3, 1.5]]}
NT_def = {"location": ["Baden"],
"border": [[-1.0, -0.8, -0.5, 0.0, 0.4, 0.8, 1.0]],
"weight": [[-0.5, -0.6, -0.8, 1.2, 1.5, 1.8]]}
ET_def = json.dumps(ET_def)
NT_def = json.dumps(NT_def)
self.properties['weight_ET'] = Property(default=ET_def, data_type=str, name='energy tiers', unit='-',
info='borders and weights of energy tiers', example=ET_def)
self.properties['weight_NT'] = Property(default=NT_def, data_type=str, name='net tiers', unit='-',
info='borders and weights of net tiers', example=NT_def)
self.properties["scaling"] = Property(default=1, data_type=float, name='Scaling factor', unit='-',
info='Scaling factor for y axis', example='3.6e9')
self.properties["y_unit"] = Property(default='€/MWh', data_type=str, name='unit of y label', unit='-',
info='Unit of label for y axis', example='[€/MWh]')
self.properties["y_labeling"] = Property(default='Price', data_type=str, name='y label', unit='-',
info='Label for y axis', example='Price [€/MWh]')
# define persistent variables
self.weight_ET = None
self.weight_NT = None
self.y_scaling = None
self.y_unit = None
self.y_labeling = None
def __init__(self, uuid, name: str):
super(Model, self).__init__(uuid, name)
self.outputs['const'] = Output('Number', unit='float')
self.properties['number'] = Property(
name='Number',
default=0,
data_type=float,
unit='float',
info='the constant number that gets set as output')
def __init__(self, uuid, name: str):
super(Model, self).__init__(uuid, name)
self.start_time_of_curr_interval = 0
self.start_time_of_next_interval = 0
self.simulation_time = 0
self.async_future = None
self.outputs['step'] = Output('Step', unit='-', info='step number, starts with 0')
self.outputs['time'] = Output('Future', unit='s', info='utc time in seconds since epoch')
# control
self.properties['prep_lead'] = Property('Time lead of Preperation step', default=0, data_type=int, unit='s', info='Amount of seconds the preparation step is started before the actual interval')
self.properties['sim_speed'] = Property('Simulation speed', default=1, data_type=int, unit='s', info='Seconds between simulation runs, 0 = as fast as possible')
# Simulation
self.properties['date_start'] = Property('Simulation Start (UTC)', default="2018-01-01 00:00", data_type=str, unit='YYYY-MM-DD hh:mm')
self.properties['date_delta_time'] = Property('Simulation time increase', default=1, data_type=float, unit='s', info='Amount of seconds the simulation time increases with each iteration')
self.properties['date_end'] = Property('Simulation Stop (UTC)', default="2999-01-01 00:00", data_type=str, unit='YYYY-MM-DD hh:mm')
def __init__(self, uuid, name: str):
super(Model, self).__init__(uuid, name)
self.inputs['input'] = Input('Input')
self.outputs['output'] = Output('Output')
self.properties['sleep_amount'] = Property('Sleep Amount',
default=1,
data_type=float,
unit='s')
def __init__(self, uuid, name :str):
super(Model, self).__init__(uuid,name)
self.inputs['times'] = Input(name='Times', unit='s', info='utc time array')
self.inputs['values'] = Input(name='Values', unit='any', info='value array')
self.outputs['times_out'] = Output(name='Times', unit='times]', info='utc time arry')
self.outputs['values_out'] = Output(name='Filtered values', unit='values', info='filtered value array')
self.properties["filter"] = Property(default='', data_type=str, name='Filter',
unit='-', info='comma separated dict keys and array indexes',
example='"speed", 2')
def __init__(self, uuid, name: str):
super(Model, self).__init__(uuid, name)
self.outputs['const1'] = Output({
'name': 'Number1',
'unit': 'int',
'dimensions': []
})
self.outputs['const2'] = Output({
'name': 'Number2',
'unit': 'int',
'dimensions': []
})
self.properties['number1'] = Property(default=0,
data_type=float,
name='Number 1',
unit='-')
self.properties['number2'] = Property(default=0,
data_type=float,
name='Number 2',
unit='-')
def __init__(self, model_id, name: str):
# instantiate supermodel
super(Model, self).__init__(model_id, name)
# define inputs
self.inputs['v'] = Input('wind speed')
self.inputs['dir'] = Input('wind direction')
# define outputs
self.outputs['p_el'] = Output('electrical power')
self.outputs['f_rot'] = Output('rotor frequency')
# define properties
self.properties['h_hub'] = Property('hub height',
default=10,
data_type=float)
self.properties['d'] = Property('diameter',
default=10,
data_type=float)
# define persistent variables
self.pers_variable_0 = 5
def __init__(self, uuid, name: str):
super(Model, self).__init__(uuid, name)
self.elapsed = 0
self.outputs['num_elapsed'] = Output('Number Elapsed', unit='int')
self.properties["number_of_exec"] = Property('Number of Executions',
default=-1,
data_type=float,
unit='int')
self.properties["peri_interval"] = Property('Peri Interval',
default=0,
data_type=float,
unit='num')
self.properties["prep_lead"] = Property('Prep lead',
default=0,
data_type=float,
unit='num')
self.properties["post_delay"] = Property('Post delay',
default=0,
data_type=float,
unit='num')
def __init__(self, id, name: str):
# instantiate supermodel
super(Model, self).__init__(id, name)
# define inputs
self.inputs['Futures'] = Input(name='Futures', unit='s', info="Futures")
#self.inputs['Weather'] = Input(name='Weather', unit='-', info="Weather")
self.inputs['Demand'] = Input(name='Demand', unit='W', info="Demand")
self.inputs['Power'] = Input(name='Power', unit='W', info="Power loads of KW's")
# define outputs
#self.outputs['KW_weather'] = Output(name='Weather data of KWs', unit='dict{id, windspeed, radiation, windmesshoehe}', info='weather data of KWs')
# define properties
self.properties['date_start'] = Property('Simulation Start (UTC)', default="2018-01-01 00:00", data_type=str, unit='YYYY-MM-DD hh:mm')
self.properties['date_delta_time'] = Property('Simulation time increase', default=1, data_type=float, unit='s', info='Amount of seconds the simulation time increases with each iteration')
self.properties['date_end'] = Property('Simulation Stop (UTC)', default="2999-01-01 00:00", data_type=str, unit='YYYY-MM-DD hh:mm')
# Define persistent variables
self.date_start = None
self.date_delta = None
self.date_end = None
def __init__(self, uuid, name: str):
super(Model, self).__init__(uuid, name)
self.step = 0
self.current_time = 0
self.future = 0
self.async_future = None
self.outputs['time'] = Output('Time', unit='s', info='utc time in seconds since epoch')
self.outputs['step'] = Output('Step', unit='-', info='step number, starts with 0')
self.properties["mode"] = Property(name='Mode', default='live',
data_type=str,
unit='-',
info='live or simulation')
self.properties["time_increase"] = Property('Time increase', default=1, data_type=float,
unit='s',
info='Time increase with each iteration')
# Live
# Simulation
self.properties["sim_speed"] = Property('Simulation speed', default=0, data_type=float, unit='s',
info='Time between iteration, simulation mode only, 0 = as fast as possible')
self.properties["sim_start"] = Property('Simulation Start (UTC)', default="2018-01-01 00:00", data_type=str,
unit='YYYY-MM-DD hh:mm')
def __init__(self, model_id, name: str):
# instantiate supermodel
super(Model, self).__init__(model_id, name)
# define inputs
self.inputs['KWData'] = Input(name='Power Plant', unit='-', info='European Power Plant')
self.inputs['Locations'] = Input(name='Locations', unit='-', info='Locations with geographical coordinates')
# define outputs
self.outputs['DistanceFactor'] = Output(name='DistanceFactor', unit='[€/km*MWh]', info='Distance factor')
# define properties
self.properties['NetworkCost'] = Property(default=148E9, data_type=float, name='Network cost', unit='€',
info="Network cost * annual amount of energy", example='148*10^9 € (Mittelspannung, Churwalden 2017)')
# define persistent variables
self.NetworkCost = None
def __init__(self, model_id, name: str):
# instantiate supermodel
super(Model, self).__init__(model_id, name)
# define inputs
self.inputs['Standorte'] = Input('SPGLocations',
info='dict containing location names and coordinates [lat/lon] of SPGs')
self.inputs['KWDaten'] = Input('PowerPlantsData',
info='dict containing power plant information, including coordinates')
# define outputs
self.outputs['Distanzkosten'] = Output('DistanceCost', unit='[€/m*J]')
# define properties
self.properties['dis_factor'] = Property('DistanceFactor', default=0.021, data_type=float, unit='[€/km*MWh]')
self.DistanzFaktor = None
def __init__(self, id, name: str):
# instantiate supermodel
super(Model, self).__init__(id, name)
# define inputs
self.inputs['dist_net'] = Input(name='distribution networks', unit='-', info='distribution networks')
self.inputs['futures'] = Input(name='futures networks', unit='s', info='futures')
# define outputs
self.outputs['dist_cost'] = Output(name='distribution cost', unit='undet', info='distribution cost')
# define properties
cost_constant_def = [100]
cost_constant_def = json.dumps(cost_constant_def)
self.properties['cost_const'] = Property(default=cost_constant_def, data_type=str, name='constant dist cost', unit='-', info='constant distribution costs', example='[100, 110, 120]')
# persistent variables
self.cost_constant = None
def __init__(self, id, name: str):
# instantiate supermodel
super(Model, self).__init__(id, name)
# define inputs
# define outputs
self.outputs['taxes'] = Output(name='Taxes', unit='€/J', info='Taxes')
# define properties
self.properties['tax'] = Property(default=3600,
data_type=float,
name='taxes',
unit='€/km*MWh',
info="taxes",
example='3600')
# define persistent variables
self.taxes = None
def __init__(self, id, name: str):
# instantiate supermodel
super(Model, self).__init__(id, name)
# define inputs
# define outputs
self.outputs['distNets'] = Output(name='Distribution Networks', unit='{Location: [], Latidude: [], Longitude []}',
info='Distribution Networks with their location, latitude and longitude')
# define properties
# - distribution network
self.properties['distNets'] = Property(default='{"Baden": {"Lat": 47.47256, "Lon": 8.30850}}', data_type=str, name='distribution network', unit='-',
info="Distribution network with lon and lat",
example='{"Baden": {"Lat": 47.47256, "Lon": 8.30850}, '
'"Brugg": {"Lat": 47.48420, "Lon": 8.20706}, '
'"Olten": {"Lat": 47.35212, "Lon": 7.90801}}')
# define persistent variables
self.distNets = None
def __init__(self, id, name: str):
# instantiate supermodel
super(Model, self).__init__(id, name)
# define inputs
# define outputs
self.outputs['service_cost'] = Output(name='Service costs',
unit='€/J',
info='Service costs')
# define properties
self.properties['serv_cost'] = Property(default=7200,
data_type=float,
name='service costs',
unit='€/km*MWh',
info="service costs",
example='7200')
# define persistent variables
self.service_cost = None
def __init__(self, id, name: str):
# instantiate supermodel
super(Model, self).__init__(id, name)
# define inputs
self.inputs['futures'] = Input(name='Futures',
unit='s',
info="time array in utc [s]")
# define outputs
self.outputs['p_dem'] = Output(name='Power demand',
unit='W',
info="power demand of UCTE in W")
# define properties
self.properties['offset'] = Property(default=0,
data_type=float,
name='demand offset',
unit='%',
info="offset of demand in %",
example='100: doubles the value')
# define persistent variables
self.model_para = None
def __init__(self, uuid, name: str):
super(Model, self).__init__(uuid, name)
self.properties['stop_after'] = Property('Number of runs',
default=1,
data_type=int)
def __init__(self, uuid, name: str):
super(Model, self).__init__(uuid, name)
self.start_time_of_curr_interval = 0
self.start_time_of_next_interval = 0
self.simulation_time = 0
self.async_future = None
self.outputs['is_live'] = Output(
'Is live', info='True if the current mode is live')
self.outputs['step'] = Output('Step',
unit='-',
info='step number, starts with 0')
self.outputs['times'] = Output(
'Futures', unit='s', info='utc time array in seconds since epoch')
self.properties['mode'] = Property('Mode',
default='live',
data_type=str,
unit='-',
info='live or simulation')
# control
self.properties['prep_lead'] = Property(
'Time lead of Preperation step',
default=0,
data_type=int,
unit='s',
info=
'Amount of seconds the preparation step is started before the actual interval'
)
self.properties['real_time_increase'] = Property(
'Real time between each interval run',
default=1,
data_type=int,
unit='s',
info='Real time between iteration, 0 = as fast as possible')
# Simulation
self.properties['simu_time_increase'] = Property(
'Simulation time increase',
default=1,
data_type=float,
unit='s',
info=
'Amount of seconds the simulation time increases with each iteration'
)
self.properties['simu_start_time'] = Property(
'Simulation Start (UTC)',
default="2018-01-01 00:00",
data_type=str,
unit='YYYY-MM-DD hh:mm')
# futures
self.properties['future_steps_amount'] = Property(
'Number of Future steps',
default=1,
data_type=int,
unit='-',
info='Number of time stamps')
self.properties['future_time_increase'] = Property(
'Time increase with each Future',
default=0,
data_type=float,
unit='s',
info='Time increase with each iteration')
# stop
self.properties['simu_stop_time'] = Property(
'Simulation Stop (UTC)',
default="2999-01-01 00:00",
data_type=str,
unit='YYYY-MM-DD hh:mm')
self.properties['simu_number_of_intervals'] = Property(
'Number of Simulation intervals', default=-1, data_type=int)