Neural Networks for Solar Panel Maximum Power Point Tracking

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

Award Winner

University Library Awards for Information Literacy - Honorable Mention