Glance at Pecan Street Dataset and Its Application to Energy Disaggregation

In this paper, we provide a detailed examination of energy consumption within specific sections of the Pecan Street Data Set. We employ two primary method-ologies: the Additive Factorial Approximate MAP (AFAMAP) algorithm and the Exact MAP (EXACT) algorithm. Over the course of one year, we visualize energy consumption for the entire household as well as for individual appliances, revealing distinct patterns that could potentially inspire future advancements in energy disaggregation.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/icdm63232.2024.10762469
Citations
3
Primary Topic
Automated Road and Building Extraction
Type
article
Field-Weighted Citation Impact
1.01

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article

Glance at Pecan Street Dataset and Its Application to Energy Disaggregation

Yinghui Zhu, Zhongxing Peng
3 citations
Automated Road and Building Extraction
1.01
article

Glance at Pecan Street Dataset and Its Application to Energy Disaggregation

Yinghui Zhu, Zhongxing Peng
article en
3 citations

Abstract

In this paper, we provide a detailed examination of energy consumption within specific sections of the Pecan Street Data Set. We employ two primary method-ologies: the Additive Factorial Approximate MAP (AFAMAP) algorithm and the Exact MAP (EXACT) algorithm. Over the course of one year, we visualize energy consumption for the entire household as well as for individual appliances, revealing distinct patterns that could potentially inspire future advancements in energy disaggregation.

Hanshan Normal University (CN)
Hanshan Normal University
Openalex Percentile: Top 24%
Automated Road and Building Extraction
1.01
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