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* * rename Haushaltsgeraete to home appliance * renamed strafe to penalty (optimization problem) Signed-off-by: Jürgen Eckel <juergen.eckel@gmail.com> * removed penalty renaming Signed-off-by: Jürgen Eckel <juergen.eckel@gmail.com> * renamed one variable Signed-off-by: Jürgen Eckel <juergen.eckel@gmail.com> * * renamed variable names and methods of the home appliance class * renamed missed method names * fixed renamed variable * renamed object * adjusted to latest repo changes * renamed file to class_home_applianc.py * renamed method --------- Signed-off-by: Jürgen Eckel <juergen.eckel@gmail.com> Signed-off-by: Jürgen Eckel <juergen@riddleandcode.com>
65 lines
2.5 KiB
Python
65 lines
2.5 KiB
Python
import numpy as np
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from pydantic import BaseModel, Field
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class HomeApplianceParameters(BaseModel):
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consumption_wh: int = Field(
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gt=0,
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description="An integer representing the energy consumption of a household device in watt-hours.",
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)
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duration_h: int = Field(
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gt=0,
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description="An integer representing the usage duration of a household device in hours.",
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)
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class HomeAppliance:
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def __init__(self, parameters: HomeApplianceParameters, hours=None):
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self.hours = hours # Total duration for which the planning is done
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self.consumption_wh = (
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parameters.consumption_wh
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) # Total energy consumption of the device in kWh
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self.duration_h = parameters.duration_h # Duration of use in hours
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self.load_curve = np.zeros(self.hours) # Initialize the load curve with zeros
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def set_starting_time(self, start_hour, global_start_hour=0):
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"""Sets the start time of the device and generates the corresponding load curve.
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:param start_hour: The hour at which the device should start.
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"""
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self.reset()
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# Check if the duration of use is within the available time frame
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if start_hour + self.duration_h > self.hours:
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raise ValueError("The duration of use exceeds the available time frame.")
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if start_hour < global_start_hour:
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raise ValueError("The start time is earlier than the available time frame.")
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# Calculate power per hour based on total consumption and duration
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power_per_hour = self.consumption_wh / self.duration_h # Convert to watt-hours
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# Set the power for the duration of use in the load curve array
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self.load_curve[start_hour : start_hour + self.duration_h] = power_per_hour
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def reset(self):
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"""Resets the load curve."""
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self.load_curve = np.zeros(self.hours)
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def get_load_curve(self):
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"""Returns the current load curve."""
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return self.load_curve
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def get_load_for_hour(self, hour):
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"""Returns the load for a specific hour.
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:param hour: The hour for which the load is queried.
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:return: The load in watts for the specified hour.
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"""
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if hour < 0 or hour >= self.hours:
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raise ValueError("The specified hour is outside the available time frame.")
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return self.load_curve[hour]
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def get_latest_starting_point(self):
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"""Returns the latest possible start time at which the device can still run completely."""
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return self.hours - self.duration_h
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