Artificial neural network model for solar resource assessment: An application to efficient design of photovoltaic system
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...
Saved in:
Main Authors: | Santiago, Robert Martin C., Bandala, Argel A., Dadios, Elmer P. |
---|---|
Format: | text |
Published: |
Animo Repository
2017
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/1924 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Similar Items
-
Design and optimization of photovoltaic solar energy in a small domesticated establishment (An integrative review)
by: Del Rosario, Jay Robert B., et al.
Published: (2013) -
A STUDY ON THE SUITABILITY OF BUILDING-INTEGRATED PHOTOVOLTAICS FOR INFRASTRUCTURE IN SINGAPORE
by: VINCENT TAMEERIS
Published: (2023) -
Estimating the total power generation of Photovoltaic panels by Means of Visible and Infrared Sensing
by: Bautista, Maria Patricia S., et al.
Published: (2023) -
Development of an IV-curve tester with solar tracker capability and temperature measurement module for characterization of SIKAT solar panels
by: Areza, Timothy Johans S., et al.
Published: (2013) -
An Energy management system using photovoltaics and solar tracking for an automatic weather monitoring station
by: Delos Reyes, Keem A., et al.
Published: (2010)