Household Active Population Evaluation Based on Fine-Grained Electricity Consumption Data

This paper proposes a method to assess the active population in households based on the fine-grained electricity consumption data from Non-Intrusive Load Monitoring (NILM) devices. Firstly, a feasibility study on assessing household active population using fine-gained data was carried out. Various i...

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Bibliographic Details
Published in2021 IEEE Sustainable Power and Energy Conference (iSPEC) pp. 2361 - 2365
Main Authors Huang, Yixuan, Yang, Shihai, Chen, Mingming, Liu, Tianchang, Fang, Kaijie, Cheng, Hanmiao
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.12.2021
Subjects
Classification algorithms
Clustering algorithms
Conferences
Electricity consumption behavior
Fine-grained electricity consumption data
Household active population evaluation
Indexes
Load monitoring
Non-Intrusive Load Monitoring (NILM)
Power grids
Sociology
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Summary:This paper proposes a method to assess the active population in households based on the fine-grained electricity consumption data from Non-Intrusive Load Monitoring (NILM) devices. Firstly, a feasibility study on assessing household active population using fine-gained data was carried out. Various indices were then designed to evaluate active population. At last, an evaluation method was proposed in accordance with the proposed indices. The proposed method was applied to the measurement result of population quantity of each resident user. Through the method proposed in this paper, the data of household active population can be obtained, which can provide data support for the customer-oriented service of power grid and development of energy strategy for authorities.
DOI:10.1109/iSPEC53008.2021.9735874