Energy Consumption Analysis

This repository contains scripts for analyzing energy consumption data on an hourly, daily, weekly, and monthly basis.

Files Description

• energy-use.py: Main Python script that loads hourly energy data, performs data aggregation to daily, weekly, and monthly intervals, and generates corresponding plots.

Requirements

• Python 3.x
• Pandas
• Matplotlib

To install the required Python libraries, you can use the following command:

pip install pandas matplotlib

Usage

Run the script using Python from the command line:

python energy-use.py 

This will generate PNG images for the daily, weekly, and monthly energy consumption visualizations based on the provided data.

Data Format

The energy data should be in a tab-delimited file with the following columns:

• start_time: The starting time of the measurement (includes date and time).
• end_time: The ending time of the measurement (includes date and time).
• consumption: The amount of energy consumed in kWh.
• provided_cost: The cost of energy consumed in USD.

The start_time and end_time fields should be formatted to include timezone information, which will be converted to UTC and localized to remove timezone awareness within the script.

Output

The script outputs several PNG files:

• Daily_Energy_Consumption.png: Shows daily energy consumption.
• Weekly_Energy_Consumption.png: (Optional) For weekly energy consumption visualization.
• Monthly_Energy_Consumption.png: (Optional) For monthly energy consumption visualization.

Each plot provides a visual representation of energy consumption patterns, assisting in trend analysis and decision-making processes.

Contributing

Contributions to this project are welcome. Please fork the repository and submit a pull request with your proposed changes.

License

This project is licensed under the MIT License - see the LICENSE file for details.