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Article

Evidence-Driven Reproducibility Audit for Asset-Level PV Assessment in Distribution Networks

by
Leonel Vasquez-Cevallos
1,*,
Mireya Zapata-Rodríguez
2,*,
Edith Garces-Quinaloa
3,
Wellington Maliza-Cruz
3 and
Franklin Parrales-Bravo
3,4
1
Facultad de Ingenierías, Arquitectura y Ciencias de la Naturaleza, Universidad ECOTEC, km 13.5, Samborondon 092302, Ecuador
2
Centro de Investigación en Mecatrónica y Sistemas Interactivos (MIST), Facultad de Ingenierías, Universidad Tecnológica Indoamérica, Quito 170103, Ecuador
3
Artificial Intelligence Research Group, Universidad Bolivariana del Ecuador, UBE, km 5.5, Duran–Yaguachi Road, Duran 092405, Ecuador
4
Grupo de Investigación en Inteligencia Artificial, Facultad de Ciencias Matemáticas y Físicas, Universidad de Guayaquil, Guayaquil 090514, Ecuador
*
Authors to whom correspondence should be addressed.
Electronics 2026, 15(18), 4302; https://doi.org/10.3390/electronics15184302 (registering DOI)
Submission received: 7 September 2026 / Revised: 17 September 2026 / Accepted: 18 September 2026 / Published: 19 September 2026

Abstract

Archived distribution studies are difficult to reuse when source calculations, public asset records, processed outputs, and proprietary model files support different levels of inference. This study develops a claim-specific audit for incomplete distribution network archives. Three evidence gates distinguish documentary consistency, asset attribution, and decision-specific adequacy; four archive stages separate preservation and integrity documentation from executable import and numerical reproduction. The method was applied to three retained operating points of a 13.8 kV feeder in Ambato, Ecuador. Eight roofs associated in the worksheet with T54 (code 21076) yielded 205.364 kWp from 1506 m2 under the retained sizing assumptions. A public EEASA GIS record corroborated the code, 125 kVA rating, and 13.8/0.22 kV nominal voltages, while the physical-to-model correspondence remained unverified. In the maximum-PV state labeled 1.5825 MWp, the archived feeder-head export was 0.670 MW, and the archived T54 loading metric was 156.915%, triggering a nameplate-based review without establishing thermal overload. Only T54 satisfied the four-element documentary attribution rule; model execution and numerical reproduction were not tested. This contribution is a domain-specific synthesis of established provenance and reproducibility principles that makes claim boundaries explicit. It remains a single-case demonstration, without empirical evidence of improved analyst agreement or decision quality.
Keywords: distributed photovoltaic generation; distribution networks; smart grids; reproducibility; power-flow analysis; GIS provenance; transformer loading; evidence-based engineering; PowerFactory; asset-level assessment distributed photovoltaic generation; distribution networks; smart grids; reproducibility; power-flow analysis; GIS provenance; transformer loading; evidence-based engineering; PowerFactory; asset-level assessment

Share and Cite

MDPI and ACS Style

Vasquez-Cevallos, L.; Zapata-Rodríguez, M.; Garces-Quinaloa, E.; Maliza-Cruz, W.; Parrales-Bravo, F. Evidence-Driven Reproducibility Audit for Asset-Level PV Assessment in Distribution Networks. Electronics 2026, 15, 4302. https://doi.org/10.3390/electronics15184302

AMA Style

Vasquez-Cevallos L, Zapata-Rodríguez M, Garces-Quinaloa E, Maliza-Cruz W, Parrales-Bravo F. Evidence-Driven Reproducibility Audit for Asset-Level PV Assessment in Distribution Networks. Electronics. 2026; 15(18):4302. https://doi.org/10.3390/electronics15184302

Chicago/Turabian Style

Vasquez-Cevallos, Leonel, Mireya Zapata-Rodríguez, Edith Garces-Quinaloa, Wellington Maliza-Cruz, and Franklin Parrales-Bravo. 2026. "Evidence-Driven Reproducibility Audit for Asset-Level PV Assessment in Distribution Networks" Electronics 15, no. 18: 4302. https://doi.org/10.3390/electronics15184302

APA Style

Vasquez-Cevallos, L., Zapata-Rodríguez, M., Garces-Quinaloa, E., Maliza-Cruz, W., & Parrales-Bravo, F. (2026). Evidence-Driven Reproducibility Audit for Asset-Level PV Assessment in Distribution Networks. Electronics, 15(18), 4302. https://doi.org/10.3390/electronics15184302

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