Fuzzy Control System for Smart Energy Management in Residential Buildings Based on Environmental Data
نویسندگان
چکیده
Modern energy automation solutions and demand response applications rely on load profiles to monitor manage electricity consumption effectively. The introduction of smart control systems capable handling additional fuzzy parameters, such as weather data, through machine learning methods, offers valuable insights in an attempt adjust consumer behavior optimally. Following recent advances the field control, this study presents design implementation a system that processes environmental data order recommend minimum values for residential building. This follows forward chaining Mamdani approach uses decision tree linearization rule generation. Additionally, hybrid feature selector is implemented based XGBoost metrics importance. proposed structure discovers generates small set rules highlights building time-series past operation. sample input presented, evaluation its performance shows base generation derived with improved accuracy. In addition, overall smaller generated, computation faster compared baseline configuration.
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ژورنال
عنوان ژورنال: Energies
سال: 2021
ISSN: ['1996-1073']
DOI: https://doi.org/10.3390/en14030752