Sustainable energy undergraduate research

Issues such as climate change, global warming, increased blackouts, and oil price fluctuation continue to pepper the news. All the above mentioned facts led to an increase interest in renewable energy sources. This makes solar radiation, wind speed and climate effect important parameters to study, map and predict. One method to implement the following is using Neural Networks (NN). This paper presents the approach used in teaching both sustainable energy and NN to undergraduate students via research since those topics are often not incorporated in the electrical engineering curriculum.