Modelling of Home Appliances Using Fuzzy Controller in Achieving Energy Consumption and Cost Reduction

Parvin, Khadija; Al-Shetwi, Ali Q.; Hannan, M. A.; Ker, Pin Jern

doi:10.5755/j02.eie.27000

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…Moreover, in [22], a calibration method was employed to integrate POE data. In [23], a fuzzy logic controller was employed to estimate HVAC consumption. In [24], the authors establish a residential user evaluation system based on an evaluation model by selecting indicators related to user characteristics and electricity consumption data.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of Household Appliances Power Consumption

et al. 2022

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The consumption of household appliances tends to increase. Therefore, the application of energy efficiency measurements is urgently needed to reduce the levels of power consumption. Over the last years, various methods have been used to predict household electricity consumption. As a novelty, this paper proposed a method of predicting the consumption of household appliances by evaluating statistical distributions (Kolmogorov–Smirnov Test and Pearson’s X2 test). To test the veracity of the evaluations, first, a set of random values was simulated for each hour, and their respective averages were calculated. These were compared with the averages of the real values for each hour. With the exception of HVAC during working days, great results were obtained. For the refrigerator, the maximum error was 3.91%, while for the lighting, it was 4.27%. At the point of consumption, the accuracy was even higher, with an error of 1.17% for the dryer while for the washing machine and dishwasher, their minimum errors were less than 1%. The error results confirm that the applied methodology is perfectly acceptable for modeling household appliance consumption and consequently predicting it. However, these consumptions can be only extrapolated to dwellings with similar surface areas and habitats.

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Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of Household Appliances Power Consumption

et al. 2022

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“…A fuzzy logic controller is used in a home energy management system as the main purpose is for the energy consumption and cost to be decreased [77]. The proposed system can analyze the energy usage during peak and non-peak hours, and it is proved that the energy is managed in an efficient way.…”

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confidence: 99%

Machine Learning and Fuzzy Logic in Electronics: Applying Intelligence in Practice

2021

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The paper presents an analysis and summary of the current research state concerning the application of machine learning and fuzzy logic for solving problems in electronics. The investigated domain is conceptualized with aim the achievements, trending topics and future research directions to be outlined. The applied research methodology includes a bibliographic approach in combination with a detailed examination of 66 selected papers. The findings reveal the gradually increasing interest over the last 10 years in the machine learning and fuzzy logic techniques for modeling, implementing and improving different hardware-based intelligent systems.

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