Electricity Insights Dashboard

Overview

The Electricity Insights Dashboard is a data-driven platform that provides valuable insights into electricity consumption patterns, weather forecasts, and demand prediction. It uses data from various sources like the CEA API, Visual Crossing Weather API, and LSTM (Long Short-Term Memory) models for demand forecasting.

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Features

📊 Per Capita Electricity Consumption + Weather

This section shows the per capita electricity consumption data over the years and provides a 7-day weather forecast for selected states. You can visualize:

• The per capita consumption over time.
• The weather forecast with maximum and minimum temperatures, as well as descriptions for each day.

🔮 LSTM Demand Forecast

This section allows you to upload historical electricity demand data and train an LSTM model to forecast future demand. You can:

• Upload your own CSV dataset for training the model.
• Visualize distribution and trends in the electricity demand.
• Train the LSTM model and see the training/validation loss.
• View the model's predictions.

📈 Linear Forecast for Next 5 Days

For the selected states, a linear regression model forecasts the electricity consumption for the next 5 days based on historical data.

Custom Sidebar Menu (Hamburger)

The sidebar includes a collapsible menu with a hamburger icon that users can click to toggle the visibility of the sidebar. The sidebar uses custom CSS and JavaScript for this interactive feature.

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Setup and Installation

Clone the repository:

First, clone the repository to your local machine.

git clone https://github.com/your-username/electricity-insights-dashboard.git
cd electricity-insights-dashboard

Install dependencies:

Install the required dependencies by running:

pip install -r requirements.txt

Set up API keys:

For Visual Crossing Weather API, sign up and get an API key from Visual Crossing.

Replace the placeholder API key in the code with your actual API key.

Run the app:

To launch the dashboard locally, run the following command in your terminal:

streamlit run app.py

This will start a local server, and you can view the app at http://localhost:8501.

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Example of Use

1. Data Selection: Use the sidebar to select states and adjust the year range for electricity consumption data.
2. Weather Forecast: View the weather forecast for the selected states.
3. Demand Forecasting: Upload a CSV file with electricity demand data to train the LSTM model and view predictions.

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Contributing

Contributions are welcome! If you'd like to contribute, feel free to fork the repository, make your changes, and submit a pull request. Here are a few ways you can help:

• Fix bugs and improve existing features.
• Add new features and enhancements.
• Help improve documentation.

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License

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

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Contact

For any queries, please contact the project maintainers:

• Tushar Panwar (21BCE1074)