This repository contains resources and code snippets to facilitate the access of solar irradiance and weather data from the Solcast platform. With Solcast's extensive dataset, users can gather valuable insights for research, analysis, and applications in the renewable energy sector.
Accessing solar irradiance and weather data is essential for various purposes such as solar energy forecasting, climate analysis, and environmental studies. Solcast offers a user-friendly platform and an API for retrieving historical and real-time solar data.
This repository provides:
- Python code snippets for accessing data programmatically through the Solcast API.
- Guidelines for setting up the necessary environment and dependencies.
- Demonstrations of data manipulation and analysis using Python libraries.
To run the Python scripts for accessing Solcast data, ensure you have the following dependencies installed:
- Python (3.x recommended)
python-dotenv
packagerequests
packagepandas
package
You can install the dependencies using pip:
pip install -r requirements.txt
Make sure to copy the API Key from the Solcast platform and add paste it in the .env
file, like this
SOLCAST_API_KEY=your_api_key
We extend our sincere gratitude to the Solcast team for their dedication to advancing renewable energy research and for providing free access to their extensive solar irradiance and weather datasets.