ArticleScientific reports2025
Evaluating energy efficiency in Turkish electric distribution using network DEA and GA models.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study uses DEA to evaluate the energy efficiency of Turkey's provinces and electricity distribution companies. Then, the efficiency of electricity distribution companies is evaluated using network DEA by considering the sub-processes of electricity distribution companies, which consist of generation, transmission, and distribution. Finally, genetic algorithms were used to evaluate the efficiency of electricity generated from renewable energy sources in Turkey between 2006 and 2015 and compare them with traditional DEA. The GA used an initial population of 500 solutions and iterated for 1000 generations to determine the optimal input and output configurations for each distribution company. For 2015, only Boğaziçi EDC is efficient among the twenty-one distribution companies evaluated in detail. The NDEA model with sub-processes provided more realistic efficiency scores than traditional DEA. Sakarya EDC performed outstandingly by achieving efficiency scores in all three processes: generation, transmission and distribution. This shows that Sakarya EDC operates optimally and is a benchmark for other companies in the sector. In particular, GA has demonstrated its effectiveness in navigating complex optimisation environments by providing efficiency scores that are, on average, 10% higher than those obtained with traditional DEA methods. Overall, the findings show that while NDEA provides a comprehensive energy efficiency analysis by breaking down processes, GA complements this by providing actionable insights for optimisation. This study provides valuable insights for policymakers in Turkey by emphasising the need for targeted investments in energy distribution to improve overall efficiency and sustainability.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.