Evidence map›Paper›PMID 41724781›Full record

ArticleScientific reports2026

Sustainable sizing, dispatch, and resilience planning of hybrid microgrids using Arctic Puffin Optimization.

Ahmed H Yakout, Amr S Mashaal, Adel M Alfons, Abdelrahman M Metwaly, Hany M Hasanien, Waheed Sabry, Marwa Ahmed

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PubMed Full text at PMC Publisher
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

7 authors.

Ahmed H YakoutDepartment of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo, Egypt. ahmed.yakout@eng.asu.edu.eg.
Amr S MashaalDepartment of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo, Egypt.
Adel M AlfonsDepartment of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo, Egypt.
Abdelrahman M MetwalyDepartment of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo, Egypt.
Hany M HasanienDepartment of Electrical Engineering, College of Engineering, University of Sharjah, Sharjah, 27272, United Arab Emirates.
Waheed SabryDepartment of Electrical Power and Energy, Military Technical College (MTC), Cairo, Egypt.
Marwa AhmedDepartment of Electrical and Control, Arab Academy for Science, Technology and Maritime Transport, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hybrid microgrids combining photovoltaic (PV), wind turbine (WT), diesel generator (DG), and battery energy storage systems (BESS) provide a practical pathway for delivering reliable and low-carbon energy to isolated regions. However, their optimal sizing and dispatch planning constitute a challenging multi-objective problem due to renewable intermittency, battery degradation, and competing economic-environmental trade-offs. This paper proposes a novel Arctic Puffin Optimization (APO)-based framework for the techno-economic planning of standalone hybrid microgrids. The model simultaneously minimizes the Annual System Cost (ASC), carbon dioxide (CO

Indexed as

Arctic Puffin Optimization (APO)BESS DegradationHybrid MicrogridMulti-objective OptimizationResilience AnalysisSizing and DispatchSustainability

Identifiers

PMID41724781
PMCPMC12929801

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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.