Optimizing solar energy planning: A spatial zoning method based on characterized dimensionless radiation profiles.

Yafei Wang, You Li, Chenhao Ren, Haolin Yang

Abstract read

In one paragraph

Article in iScience, 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

4 authors.

Yafei WangSchool of Civil Engineering and Architecture, Zhejiang University of Science and Technology, Hangzhou 310023, China.

You LiGraduate School of Energy Science, Kyoto University, Yoshida-Honmachi, Sakyo-Ku, Kyoto 606-8501, Japan.

Chenhao RenSchool of Management, Zhejiang University of Science and Technology, Hangzhou 310023, China.

Haolin YangInstitute of Energy, Environment and Economy, Tsinghua University, Beijing 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatiotemporal distribution of solar energy resources is crucial for overall energy development; however, most studies face challenges in achieving reliability and high accuracy when completing solar radiation datasets across regions and also assume fixed climate zones, overlooking randomness from regional climatic inconsistencies. This study proposed a method for identifying dimensionless characterized solar radiation profiles to fill in missing solar radiation values. Benefiting from the characteristic attributes contained in the dimensionless profiles, prejudgment based on multiple sets of profiles can provide a visual window for validating climatic consistency. A case study on Kyushu shows that the proposed method achieves high accuracy on untrained data, with R

Indexed as

Energy managementEnergy modelingEnergy resourcesEnergy sustainability

Identifiers

PMID42016313

DOI10.1016/j.isci.2026.115545

PMCPMC13092865

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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.