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All Journal International Transactions on Artificial Intelligence (ITALIC)
Sondang Visiana Sihotang
Association of Indonesian Private Universities
Computer Science & IT Control & Systems Engineering Library & Information Science

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Application of AI in Optimizing Energy and Resource Management: Effectiveness of Deep Learning Models Agus Kristian; Thomas Sumarsan Goh; Ahmad Ramadan; Archa Erica; Sondang Visiana Sihotang
International Transactions on Artificial Intelligence Vol. 2 No. 2 (2024): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v2i2.530

Abstract

In the era of globalization and rapid industrial growth, energy efficiency and resource management are crucial to addressing complex environmental and economic challenges. Efficient management reduces costs and contributes to sustainability. Technological advancements in Artificial Intelligence (AI) enhance energy efficiency and resource management through faster data analysis, better predictions, and automation. Despite progress, challenges like inaccurate energy demand predictions and inefficient resource allocation persist. This study explores AI's role in improving energy and resource management efficiency, focusing on prediction, optimization, and automation using Deep Learning approaches, including Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks. The findings show that AI models significantly enhance efficiency and sustainability by providing accurate predictions and automation recommendations. This research underscores AI's practical relevance, suggesting companies integrate these technologies to optimize energy use and achieve sustainability goals.
Co-Authors Agus Kristian Ahmad Ramadan Archa Erica Thomas Sumarsan Goh