Extraction of statistical features for type-2 fuzzy NILM with IoT enabled control in a smart home. (February 2023)

• Record Type: Journal Article
• Authors: Ghosh, Soumyajit; Chatterjee, Arunava; Chatterjee, Debashis
• Is Part Of: Expert systems with applications. Volume 212(2023)
• Publication Date: 2023-02
• Subjects: Appliance signature -- Internet-of-things (IoT) -- Interval type-2 fuzzy system -- Non-intrusive load monitoring (NILM) -- Smart-meter; Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2022.118750
• Languages: English
• ISSNs: 0957-4174

Abstract

Highlights: Features extraction has better accuracy with lesser computation than most NILMs. Features with interval type-2 fuzzy can distinctly identify different appliances. IoT based control allows remote supervision which is faster than other NILMs. Unbalanced data is used for testing which is suitable for real-life applications. Identification of similar types of loads is also possible with better accuracy. Abstract: Identification and monitoring of residential appliances are important facets for home energy management and essential for proper functioning of the connected devices. In this paper, residential appliances are identified using some pre-estimated statistical features which are derived from time sequence signal of electrical data. The extracted statistical features are then used to build a type-2 fuzzy system for proper identification of the household appliances. Internet-of-things (IoT) based load control utilizing power consumption data is also built for monitoring and control of the residential appliances remotely. The proposed non-intrusive load monitoring and identification technique has better identification accuracy than similar state-of-the-art techniques as observed from the comparison analysis. Furthermore, a laboratory scale prototype system is developed to validate the usefulness of the proposed load identification and monitoring technique.