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Combination optimization method of grid sections based on deep reinforcement learning with accelerated convergence speed

Overview of attention for article published in Frontiers in Energy Research, October 2023
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Title
Combination optimization method of grid sections based on deep reinforcement learning with accelerated convergence speed
Published in
Frontiers in Energy Research, October 2023
DOI 10.3389/fenrg.2023.1269854
Authors

Huashi Zhao, Zhichao Wu, Yubin He, Qiujia Fu, Shouyu Liang, Guang Ma, Wenchao Li, Qun Yang

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 100%
Readers by discipline Count As %
Unspecified 1 100%
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 October 2023.
All research outputs
#22,028,347
of 24,576,899 outputs
Outputs from Frontiers in Energy Research
#1,428
of 4,108 outputs
Outputs of similar age
#140,160
of 173,652 outputs
Outputs of similar age from Frontiers in Energy Research
#5
of 147 outputs
Altmetric has tracked 24,576,899 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 4,108 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 173,652 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 147 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.