Artificial Intelligence and Energy Efficiency Revolution in Electric Consumption Management

The article proposes energy-saving measures in sports stadiums, emphasizing the Košice Football Arena (KFA) as a case study. In recent years, increasing energy consumption and prices have necessitated sustainable solutions, particularly in buildings subject to stricter energy efficiency regulations....

Full description

Saved in:
Bibliographic Details
Published inSACI (International Symposium on Applied Computational Intelligence and Informatics. Online) pp. 1 - 6
Main Authors Stefko, Robert, Bobcek, Marek
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.05.2024
Subjects
Artificial intelligence
Consumption Management
Efficiency
Electricity
Energy efficiency
Energy measurement
Energy Saving
IoT
Lighting
Reinforcement Learning
Renewable energy sources
Training
Online AccessGet full text
ISSN2765-818X
DOI10.1109/SACI60582.2024.10619842

Cover

More Information
Summary:The article proposes energy-saving measures in sports stadiums, emphasizing the Košice Football Arena (KFA) as a case study. In recent years, increasing energy consumption and prices have necessitated sustainable solutions, particularly in buildings subject to stricter energy efficiency regulations. Energy independence, achieved through passive design and active systems like efficient lighting and renewable sources, is crucial. Smart management systems, bolstered by artificial intelligence (AI), offer enhanced efficiency. Sports stadiums, with their unique energy demands, require attention for energy savings and renewable integration, driven by legal mandates and government-supported renovations. AI facilitates better optimization, forecasting, and management of energy systems, as seen in the articles referenced. For instance, AI-driven algorithms outperform generic algorithms in energy system optimization. Moreover, AI and interactive virtual simulations support ecological building transformations, aiding in understanding and optimizing energy systems. The proposed measures for the KFA encompass energy sustainability, management, analysis of electricity consumption, and the application of AI. These measures aim to optimize energy consumption, enhance energy efficiency, and reduce operating costs. The deployment of smart meters and AI-driven systems enables real-time monitoring and adaptive control, contributing to overall energy savings.
ISSN:2765-818X
DOI:10.1109/SACI60582.2024.10619842