We developed a website, Sumod, to track and analyze renewable energy consumption in Palestine using historical climate and solar data from NASA POWER. It features interactive dashboards and machine learning insights that empower users to make data-driven decisions for sustainable energy adoption and policy-making.
web-developmentrepository for building FrontEnd web application using Streamlit.energy-forecasting-apirepository for building BackEnd application using .Net Core, SQL server, and JWT for authentication.airepository for training the model.data-analysisrepository for Data Analysis.
Feel free to fork the repository and submit a pull request with your improvements.
This project is licensed under the Apache License 2.0.
If you need full guidance and step by step tutorial of building and training models, you can reach out me on my profile or email address [email protected].
