Suprapto, Bhakti Yudho and Nawawi, Zainuddin (2022) conference: STUDI LITERATUR SISTEM PANEL SURYA BERBASIS MIKROKONTROLER ARDUINO DAN ADAPTIVE NEURAL FUZZY INFERENCE SYSTEM. In: Seminar Nasional AvoER XIII, 2021, Palembang.
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Text (paper Seminar Nasional AvoER XIII)
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Abstract
Abstract: Power plants in the new and renewable energy (EBT) sector can solve the problem of electricity demand. Indonesia's current renewable energy sources are mini/micro hydro 450 MW, biomass 50 GW, 4.80 kWh/m2/day, wind power 36 m/s, and nuclear 3 GW. Solar energy cannot be used directly and must first be converted into electrical energy. Photovoltaic converters convert light energy directly into electrical energy. Researchers conducted a literature study on new solar-powered renewable energy sources using solar panels to learn how to write data based on Arduino microcontrollers and artificial neural networks. The Arduino Uno acts as a control element for any system, and ANFIS works better with solar PV arrays to track the sun's path across the sky.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics |
| Divisions: | 03-Faculty of Engineering > 20201-Electrical Engineering (S1) |
| Depositing User: | Mr. Bhakti Suprapto |
| Date Deposited: | 28 Apr 2023 16:10 |
| Last Modified: | 28 Apr 2023 16:10 |
| URI: | http://repository.unsri.ac.id/id/eprint/97984 |
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