The main goal of this project is to research and implement smart grid technologies that optimize the distribution of clean energy. Through the application of machine learning algorithms, the project aims to predict peak energy demand, manage load balancing, and reduce energy wastage in the distribution network. Ultimately, the objective is to enhance the efficiency and reliability of clean energy distribution systems.

By the end of the project, students should submit a final report that demonstrates:

Understanding of the available dataset

The problem being solved

Methodologies and approaches

Outcomes and results

Recommended next steps for our organization

Bonus steps in the process would also include:

Providing multiple versions of any potential solutions

Providing source code in a proper software development environment as applicable

Students will connect directly with us for mentorship throughout the project. We will be able to provide answers to questions such as:

Current industry standard approaches to ML and AI.

Relevant training for ramp up that the students needs.

Regular sync up and communication through Collaboration tools for progress tracking.

Opportunity to participate in Ideas brainstorming sessions/meeting to pitch your ideas.