Are you looking to empower the next generation of Electrical Engineers while advancing your projects? Join the Riipen Experience in collaboration with the University of New Brunswick's Department of Electrical and Computer Engineering. Our course, "Data Analytics for the Smart Grid", is designed to equip future electrical engineers with the skills needed to navigate the complexities of smart grid analytics.

Ideal Employer Profile:

We are seeking industry partners committed to fostering innovation in the energy sector. Employers who value the potential of emerging talent, possess expertise in data analytics, and can guide students through real-world applications are ideal collaborators.

Steps to Collaboration:

1. Submit a match request through the Riipen platform with a well-defined project proposal.
2. Engage in a video call to discuss potential collaborations and ensure mutual alignment.
3. If both parties agree, accept the match on the Riipen platform.
4. Students will be assigned to collaborate with you, and you'll provide mentorship and support.
5. Upon project completion, provide feedback on the Riipen platform to showcase the valuable work experience gained by students.

Partnering with us opens the door to valuable deliverables:

Machine Learning-Based Forecasting Model:

• Integrating multiple data sources for accurate forecasting.

Detailed Evaluation:

• Assessing model accuracy, speed, and robustness.

Schedule:

• Weeks 1-2: Forecasting and Literature review.
• Weeks 3-4: Discussion of methods and initial model development.
• Week 5: Model implementation and testing.
• Week 6: Model refinement and presentation preparation.
• Week 7: Final presentation and project report submission.