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All Journal Journal of Embedded Systems, Security and Intelligent Systems
Muhammad Edwin Rachmanudin
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Computer Science & IT

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Journal : Journal of Embedded Systems, Security and Intelligent Systems

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Applying Artificial Intelligence Algorithms for Optimalizing The Electricity Distribution Network Susatyo Adhi Pramono; Endang Sri Wahyuningsih; Basuki; Isra’ Nuur Darmawan; Muhammad Edwin Rachmanudin
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 3 (2024): November 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i3.4299

Abstract

Abstract: This research aims to apply artificial intelligence (AI) algorithms to optimize the electricity distribution network, focusing on improving efficiency, responsiveness, and integration of renewable energy. Deep learning and reinforcement learning algorithms are used to learn energy load patterns and adjust distribution in real-time. Through simulation of the electricity distribution network, this research found a 15% increase in energy efficiency, a reduction in response time by 85%, a 10% increase in maximum load capacity, and a 25% increase in the use of renewable energy. Additionally, operational costs of the network decreased by 12% due to automation generated by AI. The innovation of this research lies in the efficient integration of renewable energy sources and load management through more accurate prediction. The research results show that applying AI in the electricity distribution network can provide an effective and sustainable solution to reduce power loss and operational costs, as well as support the use of renewable energy. Therefore, this research contributes to the development of a smarter and more environmentally friendly electricity distribution system.
Co-Authors Basuki Endang Sri Wahyuningsih, Endang Sri Isra' Nuur Darmawan Susatyo Adhi Pramono, Susatyo Adhi