Explore the optimization of crew scheduling using Python and IBM Environmental Intelligence APIs. Learn to enhance operational efficiency while promoting sustainable practices in utility companies. This guided project integrates carbon-aware technologies with dispatch operations, helping to reduce greenhouse gas emissions and align business goals with environmental responsibility. You’ll gain firsthand experience in applying data analysis for route optimization, which is an essential step towards sustainable organizational practices. In just 30 minutes, this project will get you started in exploring practical solutions to not only improve efficiency, but also contribute to a greener planet.

Note: To complete this project, you must register to receive free access to the IBM Environmental Intelligence API keys. The process is simple and steps are provided in the project.

After completing this project, you will:
– Understand the integration of IBM Environmental Intelligence APIs for optimizing crew scheduling.
– Know how to use Python for data analysis aimed at reducing carbon emissions.
– Develop skills in route optimization to support sustainable practices within utility operations.
– Gain insights into balancing environmental impact with operational efficiency.

Comparison of time and emissions of different routes

image.png
43.3 KB

To complete this guided project, you need:
– Basic knowledge of Python programming.
– Familiarity with data analysis concepts.
– Access to a current version of Chrome, Edge, Firefox, Internet Explorer, or Safari for the best experience on the IBM Skills Network Labs platform.

Note that the IBM Skills Network Labs environment comes with many tools pre-installed, including Docker, to streamline your setup process.