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Data-driven method of solving computationally expensive combined economic/emission dispatch problems in large-scale power systems: an improved kriging-assisted optimization approach

Overview of attention for article published in Frontiers in Energy Research, September 2023
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Title
Data-driven method of solving computationally expensive combined economic/emission dispatch problems in large-scale power systems: an improved kriging-assisted optimization approach
Published in
Frontiers in Energy Research, September 2023
DOI 10.3389/fenrg.2023.1273760
Authors

Chenhao Lin, Huijun Liang, Aokang Pang, Jianwei Zhong

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 September 2023.
All research outputs
#21,868,379
of 24,397,980 outputs
Outputs from Frontiers in Energy Research
#1,422
of 4,005 outputs
Outputs of similar age
#136,613
of 167,175 outputs
Outputs of similar age from Frontiers in Energy Research
#12
of 120 outputs
Altmetric has tracked 24,397,980 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,005 research outputs from this source. They receive a mean Attention Score of 1.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 167,175 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.