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Enhancing PV power forecasting with deep learning and optimizing solar PV project performance with economic viability: A multi-case analysis of 10 MW Masdar project in UAE

Overview of attention for article published in Energy Conversion & Management, July 2024
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Readers on

mendeley
2 Mendeley
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Title
Enhancing PV power forecasting with deep learning and optimizing solar PV project performance with economic viability: A multi-case analysis of 10 MW Masdar project in UAE
Published in
Energy Conversion & Management, July 2024
DOI 10.1016/j.enconman.2024.118549
Authors

Muhammad Faizan Tahir, Anthony Tzes, Muhammad Zain Yousaf

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Researcher 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Business, Management and Accounting 1 50%
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 18 May 2024.
All research outputs
#17,728,715
of 25,984,873 outputs
Outputs from Energy Conversion & Management
#1,568
of 2,268 outputs
Outputs of similar age
#13,735
of 28,920 outputs
Outputs of similar age from Energy Conversion & Management
#6
of 8 outputs
Altmetric has tracked 25,984,873 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,268 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 16th percentile – i.e., 16% 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 28,920 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.