Solar Energy Forecasting Web App

This is a web application designed to forecast solar energy production using multivariate time series forecasting with solar radiation and weather data. The app features a React frontend and a Django backend, with a MySQL database for data storage.

Features

• User registration and login
• Weather and solar radiation data collection and forecasting
• Location-based data storage and forecasting
• Accessible and responsive UI

Tech Stack

• Frontend: React
• Backend: Django (Python)
• Database: MySQL

Installation

Prerequisites

• Python 3.8+
• Node.js 16+
• MySQL Server
• Git

Backend Setup

1. Clone the Repository:

   git clone https://github.com/KituniDevma/Solar-Energy.git
   cd Solar-Energy
   

2. Set up virtual environment and install dependencies:

   cd backend
   python3 -m venv env
   source env/bin/activate   # Use 'env\Scripts\activate' on Windows
   pip install -r requirements.txt
   

3. Database Configuration:

   • Create a .env file in the backend directory with the following variables

       DB_NAME=your_db_name
       DB_USER=your_db_user
       DB_PASSWORD=your_db_password
       DB_HOST=your_db_host
       DB_PORT=your_db_port
   

4. Create and Run Migrations:

       python manage.py makemigrations
       python manage.py migrate
   

5. Run Backend Server:

       python manage.py runserver
   

Frontend Setup

1. Navigate to the frontend folder and install dependencies:

       cd ../frontend
       npm install
   

2. Run Frontend Server:

       npm start