Evidence map›Paper›PMID 40820094›Full record

ArticleScientific reports2025

A unified FLC-blockchain framework for optimized carbon credit trading in multi-microgrid systems.

Nimrah Saeed, Fushuan Wen, Muhammad Zeshan Afzal

Abstract read
In one paragraph

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.

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

3 authors.

Nimrah SaeedCollege of Electrical Engineering, Zhejiang University, Hangzhou, China. nimrah_saeed09@yahoo.com.
Fushuan WenCollege of Electrical Engineering, Zhejiang University, Hangzhou, China.
Muhammad Zeshan AfzalCollege of Electrical Engineering, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the growing demand for sustainable energy solutions, microgrids face the dual challenge of optimizing energy production and carbon credit trading to facilitate sustainable and efficient operations. This paper proposes a novel hybrid framework for carbon credit trading among microgrids, integrating Interval Type-2 Fuzzy Logic Controllers (IT2-FLC) and blockchain technology to enhance operational efficiency, security, and sustainability. The framework consists of three islanded microgrids, each characterized by a unique energy consumption profile and production capacity, with decision-making governed by IT2-FLCs. A continuous double auction mechanism facilitates decentralized energy and carbon trading, while smart contracts securely settle transactions, ensuring tamper-proof execution and transparent record-keeping. The IT2-FLCs provide robust, real-time control in the presence of uncertainty, enhancing system adaptability. Simulation results confirm the framework's ability to maintain operational balance, reduce carbon emissions, and enable trustless, scalable coordination across microgrids. This study presents a notable advancement in integrating fuzzy logic control with blockchain-based market mechanisms for real-time, resilient carbon credit trading, offering a robust and scalable pathway for future smart grid implementations under uncertainty.

Indexed as

BlockchainCarbon tradingFuzzy logic controlMicrogridsSmart contracts

Identifiers

PMID40820094
PMCPMC12358518

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.