L2M – AI-Powered Solar Energy Management

This project will develop a smart software platform that enables solar installers and system owners to maximize the value of their existing panels and batteries, without requiring new hardware. Leveraging artificial intelligence and realistic simulations, the platform will optimize energy production, extend battery life, and detect issues early to prevent system failures. The partner organization will gain clearer system insights, streamlined setup and support processes, and new service offerings such as performance monitoring and predictive maintenance. These enhancements can improve customer satisfaction, reduce troubleshooting time, and create new revenue opportunities.

Faculty Supervisor:

Hamed Aly

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Business Strategy Internship

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