Personalization of Energy Consumption in Smart Homes using Machine Learning Technique

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Taghvai Fatemeh; Safa Ramin; Beheshti Homayon

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Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2020 | Issue:6

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Title

Personalization of Energy Consumption in Smart Homes using Machine Learning Technique

Author(s)

Taghvai Fatemeh | Safa Ramin | Beheshti Homayon

Keywords

Smart homes

Recommender systems

NILM

Deep learning

TF-IDF

Abstract

Since most of the energy consumption is related to buildings, energy management in Smart homes is a major challenge. Personalized Recommender systems are a solution to optimize energy consumption by analyzing building energy consumption behaviors. The NILM energy disaggregation technique has been considered in recent years. However, the combination of Recommender systems and NILM has received less attention. This paper proposes a personalized NILM-based recommender system that has three main phases: DAE-based NILM, TF-IDF-based text classification, and personalized recommendation. Because of the noise in the energy data, the DAE-based NILM helps detect these noises from the signals. Households’ requirements and interests are identified at this stage. In the second phase, the TF-IDF technique is used to extract meaningful keywords from the advertised optimal tags and assign them a label. Finally, in the third phase, the cosine similarity technique is used to provide some recommendations. This step generates a suggestion for each device that is on the requirement list. The proposed approach was tested using the REDD dataset. The results showed that the accuracy of the recommendation system was about 60%.

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APA: Copy

Taghvai, Fatemeh, Safa, Ramin, & Beheshti, Homayon. (2020). Personalization of Energy Consumption in Smart Homes using Machine Learning Technique. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949276/en

Vancouver: Copy

Taghvai Fatemeh, Safa Ramin, Beheshti Homayon. Personalization of Energy Consumption in Smart Homes using Machine Learning Technique. 2020. Available from: https://sid.ir/paper/949276/en

IEEE: Copy

Fatemeh Taghvai, Ramin Safa, and Homayon Beheshti, “Personalization of Energy Consumption in Smart Homes using Machine Learning Technique,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2020, [Online]. Available: https://sid.ir/paper/949276/en

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