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All Journal Rengganis Jurnal Pengabdian Masyarakat Bulletin of Community Engagement Khidmatuna: Journal of Research and Community Service Journal Electrical and Computer Experiences
Abdullah Iskandar Syah
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Library & Information Science Mathematics Social Sciences Other

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Journal : Journal Electrical and Computer Experiences

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Solar Panel Analysis for Forecasting Solar Irradiation Using Fuzzy Time Series and ANN Methods Falah, Moh. Zainul; Wahyu Tri Handoko; Sujito; Abdullah Iskandar Syah; Muladi; Arif Nur Afandi
Journal Electrical and Computer Experiences Vol. 1 No. 2 (2023): July-December
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/jece.v1i2.183

Abstract

Solar energy is very important because it is a renewable and environmentally friendly source of energy. The demand for solar energy is increasing every year because people are increasingly aware of the importance of using clean and sustainable energy sources. This study aims to analyze the performance of solar panels using a solar irradiation forecasting model developed by the Fuzzy Time Series and Artificial Neural Network (ANN) methods. Solar irradiation data obtained from measurement of solar irradiation by means of IoT is used as input in the forecasting model. The forecasting model is then tested to see its accuracy in predicting solar panel performance. The test results show that the developed forecasting model has high accuracy in predicting solar panel performance. Therefore, the Fuzzy Time Series and ANN methods can be used as an effective tool in analyzing the performance of solar panels by taking into account environmental factors that have an impact on electricity production from solar panels. This research can be a reference for solar panel developers to improve solar panel performance by utilizing solar irradiation forecasting information.
Co-Authors A.N. Afandi Budi Wibowotomo Falah, Moh. Zainul Febiolola Milinia Triana Fuad Indra Kusuma Ghasa Faraasyatul 'Alam Hari Putranto Hary Suswanto Joumil Aidil Saifuddin Moh Zainul Falah Mohamad Rodhi Faiz Muladi Nuzul Zaeni Eki Ramadhanu Shandy Krisnawan Sujito Sujito Wahyu Tri Handoko