Evidence map›Paper›PMID 38090002›Full record

ArticleHeliyon2023

Lotka-Volterra models for the market penetration of renewable energy.

Norbert Brunner, Doris Straßegger

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Norbert BrunnerInstitute of Mathematics, Department of Integrative Biology and Biodiversity Research, University of Natural Resources and Life Sciences, Vienna, Austria.
Doris StraßeggerInstitute of Mathematics, Department of Integrative Biology and Biodiversity Research, University of Natural Resources and Life Sciences, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We studied trend models for the energy and electricity markets and compared their complexity. Was it associated to the ease of policy interventions to control these markets? Using open data, we applied Lotka-Volterra type models to describe the evolution of the market shares of renewable energy and of electricity from renewable sources and observed that for the latter data more complex models were needed. We then searched for characteristics and anomalies in these models that might indicate immunity to and susceptibility for policy interventions towards reaching carbon neutrality, respectively. However, the evidence linking complexity and receptiveness for policy interventions remained weak.

Indexed as

Carbon neutralityGreen electricityLogit regressionLotka-volterra differential equationRenewable energy

Identifiers

PMID38090002
PMCPMC10711125

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.