Forecasting Specific Yield of Thin Film Solar Panel in Malacca Via Regression Analysis

Authors

  • A. Ahmad Universiti Teknikal Malaysia Melaka
  • M. ‘A. Azmi Universiti Teknikal Malaysia Melaka
  • A. J. Haja Mohiddeen International Islamic University Malaysia
  • K. A. Baharin Universiti Teknikal Malaysia Melaka
  • V. Sreeram The University of Western Australia

DOI:

https://doi.org/10.54554/ijeeas.2025.8.02.017

Abstract

This study employs multiple regression analysis to investigate the relationship between environmental variables and the specific yield of solar photovoltaic (PV) panels installed in Malacca, Malaysia. Several predictive statistical models for specific yield were developed to quantify the influence of environmental parameters. This study using data collected from PV solar panels with environmental parameters that are; relative humidity, tilt irradiance, global irradiance, temperature and wind speed. 365 days dataset of specific yield and environmental parameters were pre-processed and analysed. Single variable and multiple variables regression models were developed to identify the best-fit model for forecasting specific yield of thin film solar panel. The accuracy of the developed models was evaluated using the coefficient of determination (

Downloads

Download data is not yet available.

Downloads

Published

2025-10-30

How to Cite

Ahmad, A., Azmi, M. ‘A., Haja Mohiddeen, A. J., Baharin, K. A., & Sreeram, V. . (2025). Forecasting Specific Yield of Thin Film Solar Panel in Malacca Via Regression Analysis. International Journal of Electrical Engineering and Applied Sciences (IJEEAS), 8(2). https://doi.org/10.54554/ijeeas.2025.8.02.017

Issue

Vol. 8 No. 2 (2025): Electrical Engineering and Applied Sciences

Section

Articles

License

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).