Heating optimization system in a smart home based on fuzzy logic and integration with cloud services
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Дата
2025
Назва журналу
Номер ISSN
Назва тому
Видавець
Хмельницький національний університет
Анотація
Smart home technologies are increasingly being used to automate various aspects of everyday life, and one of the main problems these systems solve is energy optimization. Heating is one of the largest energy consumers in a home, so its efficient management plays a key role in reducing energy costs and increasing the comfort level of residents. A fuzzy logic-based system for optimizing the use of heating in a smart home is an important step towards energy efficiency and comfort in modern residential buildings.
The relevance of this work lies in the fact that existing heating systems in Smart Homes are often not fully optimized,
especially in terms of fuel management and reducing the frequency of temperature fluctuations. Many current systems do not fully take into account variable conditions such as outdoor temperature, time of day, humidity levels, or individual user needs. This results in inefficient operation: fuel consumption can be excessive and room temperatures fluctuate frequently, creating discomfort for occupants. Frequent changes in temperature can also negatively affect human health, and excessive fuel consumption leads to economic losses and increased environmental impact. Optimization of these processes through the use of fuzzy logic can achieve a more stable and energy-efficient heating system, which is essential for improving comfort and reducing costs.
This paper proposes a fuzzy logic-based system for optimizing the use of heating in a Smart home. According to the
results obtained, the use of fuzzy logic significantly improves the stability of the temperature in the house, which is important for the comfort of the residents. For the experiments, two models were compared: a basic heating model and a model based on fuzzy logic. The basic system, which does not take into account variable factors with this level of flexibility, leads to large and sharp temperature fluctuations, which can create discomfort and increase energy consumption. Instead, the fuzzy logic model demonstrates smoother and more stable temperature control, which can significantly reduce energy costs.
Опис
Ключові слова
heating system optimization, fuzzy logic, control system
Бібліографічний опис
Lytvinchuk I. Heating optimization system in a smart home based on fuzzy logic and integration with cloud services / I. Lytvinchuk, B. Savenko, S. Danchuk // Computer Systems and Information Technologies. – 2025. – № 1. – P. 16-28.