Predicting green hydrogen production using electrolyzers driven by photovoltaic panels and wind turbines based on machine learning techniques: A pathway to on-site hydrogen refuelling stations

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 101, С. 1421 - 1438

Опубликована: Янв. 8, 2025

Язык: Английский

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Machine learning models for solar forecasting and impact on green hydrogen production costs

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 132, С. 225 - 238

Опубликована: Май 1, 2025

Язык: Английский

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Intelligent Manufacturing in Aerospace: Integrating Industry 4.0 Technologies for Operational Excellence and Digital Transformation

Springer series in advanced manufacturing, Год журнала: 2024, Номер unknown, С. 389 - 434

Опубликована: Янв. 1, 2024

Язык: Английский

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Digital Twin Integration for Enhanced Control in FDM 3D Printing

Springer series in advanced manufacturing, Год журнала: 2024, Номер unknown, С. 373 - 388

Опубликована: Янв. 1, 2024

Язык: Английский

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A framework for data-driven decision making in advanced manufacturing systems: Development and implementation

Concurrent Engineering, Год журнала: 2024, Номер 32(1-4), С. 58 - 77

Опубликована: Ноя. 5, 2024

Integration of sophisticated technologies such as Internet Things, cyber physical systems and big data analytics have revolutionized the advanced manufacturing (AMS). However, implementation data-driven decision making in AMS still remains challenging due to heterogeneity, real-time processing demands, integration complexities. This paper overcomes this challenge by presenting a novel framework for adoption DDDM enhance its decision-making capabilities. consists six stages: stage, sensing knowledge application stage. The proposed leverages extract actionable insights from diverse datasets, integrates CPS create seamless interaction between digital systems, employs IoT acquisition monitoring. is validated through comprehensive case study involving CNC milling machine dataset, demonstrating significant improvements operational efficiency, accuracy, response time. involves detailed collection steps, preprocessing, analysis, showcasing framework’s practical effectiveness. results show that addresses existing challenges provides scalable solution AMS.

Язык: Английский

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Securing the Future: The Intersection of IoT, Cybersecurity Implementation, and AI Management

Опубликована: Янв. 1, 2024

Язык: Английский

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Unlocking the Power of IoT, Machine Learning, and Cloud Computing: Case Studies in Smart Homes

Опубликована: Янв. 1, 2024

Язык: Английский

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Design of an Iterative Model for Fault Severity Classification Using CNN-LSTM and Attention Mechanisms

Опубликована: Янв. 1, 2024

Язык: Английский

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ARPPNet-An improved hybrid deep network for spatial domain steganalysis

AIP conference proceedings, Год журнала: 2024, Номер 3217, С. 020033 - 020033

Опубликована: Янв. 1, 2024

Язык: Английский

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Advancements in self-supervised learning with deep learning

AIP conference proceedings, Год журнала: 2024, Номер 3217, С. 020020 - 020020

Опубликована: Янв. 1, 2024

Язык: Английский

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