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Open Access

Peer-reviewed

Research Article

Demand forecasting and inventory optimization of distribution equipment: A fusion model based on genetic algorithm and machine learning

Qingbo Tu ,

Roles Conceptualization, Data curation, Resources, Visualization, Writing – review & editing

* E-mail: tuqingbo@163.com

Affiliation Economic and Technological Research Institute, State Grid Shandong Electric Power Company, Jinan, China

https://orcid.org/0009-0009-7916-1395

⨯
Hongyang Zhang,

Roles Investigation, Methodology, Project administration, Writing – review & editing

Affiliation Economic and Technological Research Institute, State Grid Shandong Electric Power Company, Jinan, China
⨯
Weiwei Li,

Roles Software, Writing – original draft

Affiliation State Grid Economic and Technical Research Institute Co., Ltd., Beijing, China
⨯
Jing Duan,

Roles Validation, Writing – original draft

Affiliation State Grid Economic and Technical Research Institute Co., Ltd., Beijing, China
⨯
Chao Kong

Roles Formal analysis, Supervision, Writing – original draft

Affiliation Economic and Technological Research Institute, State Grid Shandong Electric Power Company, Jinan, China
⨯

Demand forecasting and inventory optimization of distribution equipment: A fusion model based on genetic algorithm and machine learning

Qingbo Tu,
Hongyang Zhang,
Weiwei Li,
Jing Duan,
Chao Kong

x

Published: November 18, 2025
https://doi.org/10.1371/journal.pone.0336026

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Equipment
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Forecasting
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Procurement
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Optimization
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Safety equipment
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Genetic algorithms
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Machine learning
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Power distribution
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