| Title |
Day-ahead optimal scheduling method for grid-connected microgrid based on energy storage control strategy
|
|---|---|
| Published in |
Journal of Modern Power Systems and Clean Energy, October 2016
|
| DOI | 10.1007/s40565-016-0245-0 |
| Authors |
Xiangyu Kong, Linquan Bai, Qinran Hu, Fangxing Li, Chengshan Wang |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 68 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 14% |
| Student > Ph. D. Student | 10 | 14% |
| Researcher | 8 | 12% |
| Student > Bachelor | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 22 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 31 | 45% |
| Energy | 6 | 9% |
| Economics, Econometrics and Finance | 2 | 3% |
| Unspecified | 2 | 3% |
| Social Sciences | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 26 | 38% |
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 18 April 2018.
All research outputs
#15,505,836
of 23,043,346 outputs
Outputs from Journal of Modern Power Systems and Clean Energy
#75
of 360 outputs
Outputs of similar age
#199,419
of 316,570 outputs
Outputs of similar age from Journal of Modern Power Systems and Clean Energy
#4
of 20 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 360 research outputs from this source. They receive a mean Attention Score of 1.5. This one is in the 3rd percentile – i.e., 3% 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 316,570 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 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.