Evidence map›Paper›PMID 35035062›Full record

ArticleEnergy and buildings2022

COVID-19 pandemic ramifications on residential Smart homes energy use load profiles.

Supriya Chinthavali, Varisara Tansakul, Sangkeun Lee, Matthew Whitehead, Anika Tabassum, Mahabir Bhandari, Jeff Munk, Helia Zandi, Heather Buckberry, Teja Kuruganti and 2 more

Abstract read
In one paragraph

Article in Energy and buildings, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Supriya ChinthavaliOak Ridge National Laboratory, Oak Ridge, TN, USA.
Varisara TansakulOak Ridge National Laboratory, Oak Ridge, TN, USA.
Sangkeun LeeOak Ridge National Laboratory, Oak Ridge, TN, USA.
Matthew WhiteheadOak Ridge National Laboratory, Oak Ridge, TN, USA.
Anika TabassumOak Ridge National Laboratory, Oak Ridge, TN, USA.
Mahabir BhandariOak Ridge National Laboratory, Oak Ridge, TN, USA.
Jeff MunkOak Ridge National Laboratory, Oak Ridge, TN, USA.
Helia ZandiOak Ridge National Laboratory, Oak Ridge, TN, USA.
Heather BuckberryOak Ridge National Laboratory, Oak Ridge, TN, USA.
Teja KurugantiOak Ridge National Laboratory, Oak Ridge, TN, USA.
Justin HillSouthern Company, Birmingham, AL, USA.
Chase CortnerSouthern Company, Birmingham, AL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has significantly affected people's behavioral patterns and schedules because of stay-at-home orders and a reduction of social interactions. Therefore, the shape of electrical loads associated with residential buildings has also changed. In this paper, we quantify the changes and perform a detailed analysis on how the load shapes have changed, and we make potential recommendations for utilities to handle peak load and demand response. Our analysis incorporates data from before and after the onset of the COVID-19 pandemic, from an Alabama Power Smart Neighborhood with energy-efficient/smart devices, using around 40 advanced metering infrastructure data points. This paper highlights the energy usage pattern changes between weekdays and weekends pre- and post-COVID-19 pandemic times. The weekend usage patterns look similar pre- and post-COVID-19 pandemic, but weekday patterns show significant changes. We also compare energy use of the Smart Neighborhood with a traditional neighborhood to better understand how energy-efficient/smart devices can provide energy savings, especially because of increased work-from-home situations. HVAC and water heating remain the largest consumers of electricity in residential homes, and our findings indicate an even further increase in energy use by these systems.

Indexed as

COVID-19 pandemicEnergy efficiencyEnergy use Load profilesSmart homes

Identifiers

PMID35035062
PMCPMC8743488

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.