# Real time monitoring and identification of electrical load based on artificial neural network > Syukri M. URL kanonis: https://discover.unhas.ac.id/publications/real-time-monitoring-and-identification-of-electrical-load-based-on-artificial-n Jurnal / Konferensi: Aip Conference Proceedings Tahun terbit: 2023 DOI: https://doi.org/10.1063/5.0111803 ISSN: 0094243X Citations: 0 ## Authors - Syukri M. ## Abstract Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Muhammad Syukri, Yusran, Yusri Syam Akil, Muhammad Ruswandi Djalal; Real time monitoring and identification of electrical load based on artificial neural network. AIP Conf. Proc. 21 February 2023; 2482 (1): 020003. https://doi.org/10.1063/5.0111803 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search ## Keywords - Icon - Citation - Computer science - Identification (biology) - Download - Information retrieval - Artificial neural network - World Wide Web - Publishing - Filter (signal processing) - Artificial intelligence - Art - Computer vision - Biology - Literature - Programming language - Botany --- Sumber: Discover Unhas — RIMS Universitas Hasanuddin. Saat mengutip, gunakan DOI bila tersedia atau URL kanonis di atas.