mirror of
https://github.com/Akkudoktor-EOS/EOS.git
synced 2025-04-19 08:55:15 +00:00
cf3b610b72
initial clean up, unused imports removed, translations, minor error handling for file added
99 lines
4.0 KiB
Python
99 lines
4.0 KiB
Python
import numpy as np
|
|
from datetime import datetime
|
|
from pprint import pprint
|
|
|
|
# Load the .npz file when the application starts
|
|
|
|
class LoadForecast:
|
|
def __init__(self, filepath=None, year_energy=None):
|
|
self.filepath = filepath
|
|
self.data = None
|
|
self.data_year_energy = None
|
|
self.year_energy = year_energy
|
|
self.load_data()
|
|
|
|
def get_daily_stats(self, date_str):
|
|
"""
|
|
Returns the 24-hour profile with mean and standard deviation for a given date.
|
|
|
|
:param date_str: Date as a string in the format "YYYY-MM-DD"
|
|
:return: An array with shape (2, 24), contains means and standard deviations
|
|
"""
|
|
# Convert the date string into a datetime object
|
|
date = self._convert_to_datetime(date_str)
|
|
|
|
# Calculate the day of the year (1 to 365)
|
|
day_of_year = date.timetuple().tm_yday
|
|
|
|
# Extract the 24-hour profile for the given date
|
|
daily_stats = self.data_year_energy[day_of_year - 1] # -1 because indexing starts at 0
|
|
return daily_stats
|
|
|
|
def get_hourly_stats(self, date_str, hour):
|
|
"""
|
|
Returns the mean and standard deviation for a specific hour of a given date.
|
|
|
|
:param date_str: Date as a string in the format "YYYY-MM-DD"
|
|
:param hour: Specific hour (0 to 23)
|
|
:return: An array with shape (2,), contains mean and standard deviation for the specified hour
|
|
"""
|
|
# Convert the date string into a datetime object
|
|
date = self._convert_to_datetime(date_str)
|
|
|
|
# Calculate the day of the year (1 to 365)
|
|
day_of_year = date.timetuple().tm_yday
|
|
|
|
# Extract mean and standard deviation for the given hour
|
|
hourly_stats = self.data_year_energy[day_of_year - 1, :, hour] # Access the specific hour
|
|
|
|
return hourly_stats
|
|
|
|
def get_stats_for_date_range(self, start_date_str, end_date_str):
|
|
"""
|
|
Returns the means and standard deviations for a date range.
|
|
|
|
:param start_date_str: Start date as a string in the format "YYYY-MM-DD"
|
|
:param end_date_str: End date as a string in the format "YYYY-MM-DD"
|
|
:return: An array with aggregated data for the date range
|
|
"""
|
|
start_date = self._convert_to_datetime(start_date_str)
|
|
end_date = self._convert_to_datetime(end_date_str)
|
|
|
|
start_day_of_year = start_date.timetuple().tm_yday
|
|
end_day_of_year = end_date.timetuple().tm_yday
|
|
|
|
# Note that in leap years, the day of the year may need adjustment
|
|
stats_for_range = self.data_year_energy[start_day_of_year:end_day_of_year] # -1 because indexing starts at 0
|
|
stats_for_range = stats_for_range.swapaxes(1, 0)
|
|
|
|
stats_for_range = stats_for_range.reshape(stats_for_range.shape[0], -1)
|
|
return stats_for_range
|
|
|
|
def load_data(self):
|
|
"""Loads data from the specified file."""
|
|
try:
|
|
data = np.load(self.filepath)
|
|
self.data = np.array(list(zip(data["yearly_profiles"], data["yearly_profiles_std"])))
|
|
self.data_year_energy = self.data * self.year_energy
|
|
# pprint(self.data_year_energy)
|
|
except FileNotFoundError:
|
|
print(f"Error: File {self.filepath} not found.")
|
|
except Exception as e:
|
|
print(f"An error occurred while loading data: {e}")
|
|
|
|
def get_price_data(self):
|
|
"""Returns price data (currently not implemented)."""
|
|
return self.price_data
|
|
|
|
def _convert_to_datetime(self, date_str):
|
|
"""Converts a date string to a datetime object."""
|
|
return datetime.strptime(date_str, "%Y-%m-%d")
|
|
|
|
# Example usage of the class
|
|
if __name__ == '__main__':
|
|
filepath = r'..\load_profiles.npz' # Adjust the path to the .npz file
|
|
lf = LoadForecast(filepath=filepath, year_energy=2000)
|
|
specific_date_prices = lf.get_daily_stats('2024-02-16') # Adjust date as needed
|
|
specific_hour_stats = lf.get_hourly_stats('2024-02-16', 12) # Adjust date and hour as needed
|
|
print(specific_hour_stats)
|