TY  - JOUR
T1  - Development of a Prediction Model for Output Power Reduction of PV
Solar Panels Based on Environmental Parameters Using
Particle Swarm Optimization Technique
AU - Attia, Osam H. AU - Anas Md Rezali, Khairil AU - As`arry, Azizan AU - Mariah Adam, Nor AU - Hanoon, Ammar N. 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 5
SP  - 1518
EP  - 1531
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.1518.1531
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.1518.1531
KW  - solar panel
KW  -Particle Swarm Optimization (PSO)
KW  -power reduction
KW  -Environmental parameters
KW  -PSOtechnique
KW  -MATLAB Software
AB  - Design guidelines for solar panels regarding the environmental parameter’s influence over the solar
panel power output are limited. This study proposes an output power percentage reduction model for predicting
the effect of environmental parameters (ambient temperature, wind speed, relative humidity, dust accumulation
and rain amount) using Particle Swarm Optimization (PSO). The PSO technique prevents an exhaustive
traditional trial-and-error procedure for obtaining the set of the unknown coefficients of the proposed model.
A total of 244 databases were collected from the literature and divided into two parts. The first set which
comprises 194 data sets were used to build the proposed model while 50 datasets as the second set were used
in the verification process. Three performance measures, namely mean absolute, mean absolute percentage and
root mean square errors were used in the proposed model to ensure the accuracy of the study. The design
procedure and accuracy of the proposed model are illustrated and analyzed via. simulation tests in MATLAB
Software. The results show the applicability of the PSO technique to solve the solar energy problems. This
technique can be adopted as an effective tool to explore the optimal solutions for the growth of the power
reduction of solar panels with the different environmental parameters and provided a design guideline for solar
panel site.
ER  -