Christopher Bryan
Christopher Bryan
The power that the solar panels generate can vary depending on the operating conditions and the load the panel is connected to. A machine learning algorithm called a neural network can be used to track the point of optimal load where a solar panel generates the most amount of power given the conditions. This poster will demonstrate the effectiveness of neural networks used for solar panel maximum power point tracking.
Major:
Electrical Engineering
Exhibition Category:
Engineering
Exhibition Format:
Poster Presentation
Campus:
Harrisburg
Faculty Sponsor:
Seth Wolpert
Poster Number:
27