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Green Power Grids: How Energy from Renewable Sources Affects Networks and Markets

Overview of attention for article published in PLOS ONE, September 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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15 X users
googleplus
1 Google+ user

Citations

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30 Dimensions

Readers on

mendeley
66 Mendeley
Title
Green Power Grids: How Energy from Renewable Sources Affects Networks and Markets
Published in
PLOS ONE, September 2015
DOI 10.1371/journal.pone.0135312
Pubmed ID
Authors

Mario Mureddu, Guido Caldarelli, Alessandro Chessa, Antonio Scala, Alfonso Damiano

Abstract

The increasing attention to environmental issues is forcing the implementation of novel energy models based on renewable sources. This is fundamentally changing the configuration of energy management and is introducing new problems that are only partly understood. In particular, renewable energies introduce fluctuations which cause an increased request for conventional energy sources to balance energy requests at short notice. In order to develop an effective usage of low-carbon sources, such fluctuations must be understood and tamed. In this paper we present a microscopic model for the description and for the forecast of short time fluctuations related to renewable sources in order to estimate their effects on the electricity market. To account for the inter-dependencies in the energy market and the physical power dispatch network, we use a statistical mechanics approach to sample stochastic perturbations in the power system and an agent based approach for the prediction of the market players' behavior. Our model is data-driven; it builds on one-day-ahead real market transactions in order to train agents' behaviour and allows us to deduce the market share of different energy sources. We benchmarked our approach on the Italian market, finding a good accordance with real data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 3%
Italy 2 3%
Germany 1 2%
Colombia 1 2%
United Kingdom 1 2%
Unknown 59 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 21%
Student > Master 13 20%
Student > Ph. D. Student 12 18%
Student > Bachelor 7 11%
Professor 3 5%
Other 3 5%
Unknown 14 21%
Readers by discipline Count As %
Engineering 16 24%
Physics and Astronomy 8 12%
Computer Science 4 6%
Social Sciences 4 6%
Energy 4 6%
Other 13 20%
Unknown 17 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 25 September 2023.
All research outputs
#3,246,590
of 24,498,639 outputs
Outputs from PLOS ONE
#43,286
of 211,517 outputs
Outputs of similar age
#41,782
of 271,991 outputs
Outputs of similar age from PLOS ONE
#1,040
of 5,927 outputs
Altmetric has tracked 24,498,639 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 211,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 79% 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 271,991 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 5,927 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.