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Deep neural network with empirical mode decomposition and Bayesian optimisation for residential load forecasting

Overview of attention for article published in Expert Systems with Applications, March 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
65 Mendeley
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Article details
Title
Deep neural network with empirical mode decomposition and Bayesian optimisation for residential load forecasting
Published in
Expert Systems with Applications, March 2024
DOI 10.1016/j.eswa.2023.121355
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 6 9%
Lecturer 3 5%
Unspecified 2 3%
Other 2 3%
Student > Doctoral Student 2 3%
Other 6 9%
Unknown 44 68%
Readers by discipline
Readers by discipline Count As %
Engineering 14 22%
Computer Science 3 5%
Social Sciences 2 3%
Unspecified 1 2%
Environmental Science 1 2%
Other 1 2%
Unknown 43 66%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 September 2023.
All research outputs
#16,678,610
of 27,791,073 outputs
Outputs from Expert Systems with Applications
#1,885
of 4,608 outputs
Outputs of similar age
#152,261
of 365,619 outputs
Outputs of similar age from Expert Systems with Applications
#29
of 93 outputs
Altmetric has tracked 27,791,073 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,608 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 365,619 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.