College

College of Engineering

Department

Computer Science Department

Degree Name

BS in Computer Science

Date

6-2019

Advisor(s)

Phillip Nico

Abstract/Summary

Solar energy causes a strain on the electrical grid because of the uncontrollable nature of the factors that affect power generation. Utilities are often required to balance solar generation facilities to meet consumer demand, which often includes the costly process of activating/deactivating a fossil fuel facility. Therefore, there is considerable interest in increasing the accuracy and the granularity of solar power generation predictions in order to reduce the cost of grid management. This project aims to evaluate how sky imaging technology may contribute to the accuracy of those predictions.

Share

COinS