Artificial neural network model for solar resource assessment: An application to efficient design of photovoltaic system

• Main Authors: Santiago, Robert Martin C., Bandala, Argel A., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2017
• Subjects: Solar energy; Solar radiation; Photovoltaic power systems; Renewable energy sources; Neural networks (Computer science); Electrical and Computer Engineering; Electrical and Electronics
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1924
• Institution: De La Salle University

The power output of solar energy conversion facilities such as photovoltaic systems is highly dependent and proportional to the amount of solar radiation absorbed on the collecting surface. In order to have an efficient design of these systems, it is essential to perform solar resource assessment on...