Evidence map›Paper›PMID 42062378›Full record

ArticleScientific reports2026

Techno-economic and policy analysis of solar-wind powered EV charging for sustainable E-mobility.

Amit Kumar Yadav, Vedant Singh, Vibha Yadav, Rohit Khargotra, Tej Singh

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Amit Kumar YadavSchool of Computer Science and Artificial Intelligence, SR University, Warangal, 506371, Telangana, India.
Vedant SinghAmrita School of Business, Amrita Vishwa Vidyapeetham, Bengaluru, 560035, India.
Vibha YadavSchool of Agricultural Sciences, IIMT University Meerut, Uttar Pradesh, 250007, Meerut, India.
Rohit KhargotraEscuela Politécnica Superior, Universidad Francisco de Vitoria, Ctra. Pozuelo-Majadahonda Km 1.800, Pozuelo de Alarcón, Madrid, 28223, Spain. rohit.khargotra@ufv.es.
Tej SinghFaculty of Informatics, ELTE Eötvös Loránd University, Budapest, 1117, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the techno-economic viability of electric vehicle charging stations using a combination of solar photovoltaic and wind turbine technologies is examined, with specific reference to identifying the optimal configuration of wind turbine, solar photovoltaic, battery, and power conversion equipment. The cost of energy, net present cost, and initial capital cost are examined in varying climatic conditions in India. A total of 26 sites are examined to assess the viability of solar photovoltaic, wind turbine, and battery-based electric vehicle charging stations. Key findings of the study reveal that solar photovoltaic, wind turbine, and battery configurations are the most cost-effective for 11 sites, with the lowest cost-effectiveness in Pune and the highest in Bhopal. For the remaining sites, solar photovoltaic and battery configurations are the most viable, with the highest cost-effectiveness in Jodhpur and the lowest in Srinagar. The study also reveals that wind turbine and battery configurations are not viable for any of the sites, as the cost of energy is high. It is also revealed through sensitivity analysis that higher electric vehicle load makes the systems unreliable, while aligning electric vehicle charging capacity with available resources enhances reliability and cost-effectiveness.

Indexed as

Cost of energyElectric vehicleSolar photovoltaicWind

Identifiers

PMID42062378
PMCPMC13323753

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.