Academic Journal
Energy Conservation: Utilization of Artificial Intelligence (AI) in Entertainment Industrial Design, Case Study on Jalan Sutomo, Medan
العنوان: | Energy Conservation: Utilization of Artificial Intelligence (AI) in Entertainment Industrial Design, Case Study on Jalan Sutomo, Medan |
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المؤلفون: | Lubis M. D., Salsabila Aisyah, Nasution Muhammad Akbar, Ahmad Sanusi Hassan |
المصدر: | E3S Web of Conferences, Vol 519, p 03031 (2024) |
بيانات النشر: | EDP Sciences, 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Environmental sciences |
مصطلحات موضوعية: | Environmental sciences, GE1-350 |
الوصف: | Energy conservation is a major concern in today’s entertainment industry due to the increasing awareness of the need for sustainable resource management. This research proposes an approach that integrates artificial intelligence (AI) and green design to improve energy efficiency in various aspects of entertainment industry buildings. First, we explore the role of AI in optimizing energy consumption and improving operational efficiency in entertainment venues such as cinemas, theaters, and shopping malls. Next, we discuss eco-design which includes the use of eco-friendly materials, waste management, and the use of renewable energy sources in the construction and operation of entertainment facilities. Through the incorporation of AI technology and sustainable design, this research highlights the potential to create a more energy-efficient and environmentally friendly entertainment industry, while making a positive contribution to global conservation efforts. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English French |
تدمد: | 2267-1242 |
Relation: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/49/e3sconf_talenta2024_03031.pdf; https://doaj.org/toc/2267-1242 |
DOI: | 10.1051/e3sconf/202451903031 |
URL الوصول: | https://doaj.org/article/e9fc14eab70142adbb6b314fc268cc77 |
رقم الانضمام: | edsdoj.9fc14eab70142adbb6b314fc268cc77 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 22671242 |
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DOI: | 10.1051/e3sconf/202451903031 |