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An Energy Activity Dataset for Smart Homes: A flexible OCR-based energy data acquisition approach using subsample convolutional neural networks

Published: 13 July 2023 Publication History

Abstract

A smart home energy dataset that records miscellaneous energy consumption data is provided. The proposed energy activity dataset (EAD) has a high data type diversity in contrast to existing load monitoring datasets. In EAD, a simple data point is labeled with the appliance, brand, and event information, whereas a complex data point has an extra application label. Several discoveries have been made on the energy consumption patterns of many appliances. Load curves of the appliances are measured when different events and applications are triggered and launched. A revised longest-common-subsequence (LCS) similarity measurement algorithm is proposed to calculate energy dataset similarities. Thus, the data quality prior information is available before training machine learning models. In addition, a subsample convolutional neural network (SCNN) is put forward. It serves as a non-intrusive optical character recognition (OCR) approach to obtain energy data directly from monitors of power meters. The link for the EAD dataset and the LED digit image dataset is: https://drive.google.com/drive/folders/1zn0V6Q8eXXSKxKgcs8ZRValL5VEn3anD

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        ICIIT '23: Proceedings of the 2023 8th International Conference on Intelligent Information Technology
        February 2023
        310 pages
        ISBN:9781450399616
        DOI:10.1145/3591569
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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        Published: 13 July 2023

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        Author Tags

        1. Convolutional Neural Network
        2. Dataset
        3. Demand-side Management
        4. Load Monitoring
        5. Longest Common Subsequence
        6. Optical Character Recognition
        7. Smart Home

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