IX INTERNATIONAL CONFERENCE
CONTEMPORARY ACHIEVEMENTS IN
CIVIL ENGINEERING
BOOK OF ABSTRACTS , 2024.год., стр. 105-105
ARTIFICIAL INTELLIGENCE METHODS ON SUSTAINABLE PATH IN THE FUNCTION OF ENERGY EFFICIENCY INCREASE| |
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| DOI: 10.14415/CACE2024.50 |
| UDK: 004.8:502/504 |
| CC-BY-SA 4.0 license |
| Аутор : Stevović, Ivan; Jovanović, Jovana; Jovanović, Mihailo |
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| | Резиме: |
| | Artificial intelligence (AI) methods have emerged as pivotal tools in the quest to enhance energy efficiency across diverse sectors. This research presents the multifaceted applications of AI methods and models and their transformative impact on optimizing energy consumption, reducing energy consumption and fostering sustainability. One of the primary applications of AI in energy efficiency lies in predictive analytics. Machine learning algorithms analyse vast datasets, including historical energy consumption patterns, weather data, and operational parameters, to forecast future energy demand accurately. These predictive models enable proactive decision-making, allowing stakeholders to anticipate fluctuations in energy usage and adjust operations accordingly, thereby minimizing waste and optimizing resource allocation. Furthermore, AI-driven optimization models play a crucial role in maximizing energy efficiency. By formulating complex optimization problems and considering various constraints and objectives, such as cost minimization, demand satisfaction, and emission reduction, these models identify optimal solutions for energy-intensive processes. Whether it's scheduling energy-intensive tasks, optimizing energy distribution in smart grids, or designing energy-efficient building systems, AI optimization methods and models offer unprecedented opportunities to enhance efficiency and sustainability. |
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| | Кључне речи: |
| | ARTIFICIAL INTELLIGENCE, ENERGY EFFICIENCY, SUSTAINABLE DEVELOPMENT, METHODS, INCREASE |
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