ENERGY CONSERVATION AS ONE OF THE COMPONENTS OF THE MANAGEMENT SYSTEM FOR THE SMART SUSTAINABLE WORKSPACES
Background. "Smart technologies" have grown rapidly thanks to advanced achievements in artificial intelligence (AI) and IoT. Big companies are interested in the concept of "smart rooms" or "smart workplaces" because these technologies allow them to reduce the costs of m...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ivan Franko National University of Lviv
2025-03-01
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| Series: | Електроніка та інформаційні технології |
| Subjects: | |
| Online Access: | http://publications.lnu.edu.ua/collections/index.php/electronics/article/view/4784 |
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| Summary: | Background. "Smart technologies" have grown rapidly thanks to advanced achievements in artificial intelligence (AI) and IoT. Big companies are interested in the concept of "smart rooms" or "smart workplaces" because these technologies allow them to reduce the costs of maintaining workplaces and focus on sustainable production without redundant waste.
Energy conservation is a crucially important part of a smart sustainable workplace management system therefore it has been analyzed in this paper. Considering the features of smart workplaces we highlighted that this approach offers a flexible and convenient way to make the workplace more comfortable and productive with a more accurate device management strategy.
Materials and Methods. Aiming our goals we have investigated the tasks which were related to models and methodologies for energy consumption management based on accessible technical resources and standards. Thus, we have used a systematic approach to selecting material, methods of inductive and logical analysis, observation and so on. The appropriate sensors and devices for energy management in smart workplaces were considered as well.
Results and Discussion. We paid the most attention to the devices available to us, such as Google Home, Mi Home, and Domoticz and their predefined functional characteristics. Amidst models, the most widespread ones for energy management were reviewed. Specifically noting that energy management in smart workplaces based on fuzzy logic does not require a complex mathematical model for system management and can rely directly on the experience of qualitative users.
Conclusion. Taking into account other components of a smart sustainable working space management system, we can conclude that modern information technologies and data analytics are becoming powerful tools for optimizing energy consumption and enhancing comfort and productivity in working spaces. |
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| ISSN: | 2224-087X 2224-0888 |