Estimating energy generation of a solar photovoltaic panel in Quezon City with a multi-layer perceptron model using meteorological parameters

Authors

Lea Angela M. Saure ⋅ PH Department of Physical Sciences, Polytechnic University of the Philippines
Raymond C. Ordinario ⋅ PH Department of Physical Sciences, Polytechnic University of the Philippines and Weather Division, Philippine Atmospheric, Geophysical, and Astronomical Services Administration
Rhenish C. Simon ⋅ PH Physics Department, De La Salle University, Manila

Abstract

We train a multi-layer perceptron (MLP) model to estimate power generation of a Solar photovoltaic panel in Quezon City using meteorological parameters as input. The parameters used are temperature (maximum, mean, and minimum), relative humidity, rainfall, wind speed, wind direction, and cloud opacity from May 10, 2017, to May 9, 2021. The results of the study show that the model could explain 62.52% of the variance in the training set and 52.41% in the test set. Furthermore, we identify the parameters with the most influence on the solar panel's energy generation. maximum temperature, relative humidity, cloud opacity, and mean temperature emerge as the most influential parameters affecting solar energy generation.

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Issue

2023: Proceedings of the 41st Samahang Pisika ng Pilipinas Physics Conference

Article ID

SPP-2023-PB-09

Section

Poster Session B (Complex Systems, Simulations, and Theoretical Physics)

Published

2023-07-07

How to Cite

[1]

LAM Saure, RC Ordinario, and RC Simon, Estimating energy generation of a solar photovoltaic panel in Quezon City with a multi-layer perceptron model using meteorological parameters, Proceedings of the Samahang Pisika ng Pilipinas 41, SPP-2023-PB-09 (2023). URL: https://proceedings.spp-online.org/article/view/SPP-2023-PB-09.