Application of the ANN Method in the Network Recommendation Algorithm DOI

佳利 谢

Computer Science and Application, Journal Year: 2024, Volume and Issue: 14(11), P. 107 - 118

Published: Jan. 1, 2024

Language: Английский

Development, Kinetic Analysis, and Economic Feasibility of Different Corn Stover-Driven Biorefineries to Produce Biohydrogen, Bioethanol, and Biomethane: A Comparative Analysis DOI

Haitao Lin,

Meng Zhang, Bhupendra Singh Chauhan

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: unknown, P. 121625 - 121625

Published: Oct. 1, 2024

Language: Английский

Citations

5

Design and performance optimization of non-imaging concentrating photovoltaic thermal systems using grey relational analysis and response surface methodology DOI
Abid Ustaoğlu, Bilal Kurşuncu, Volkan Akgül

et al.

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 126482 - 126482

Published: April 1, 2025

Language: Английский

Citations

0

Next-Generation CSP: The Synergy of Nanofluids and Industry 4.0 for Sustainable Solar Energy Management DOI Creative Commons

Mohamed Shameer Peer,

Tsega Y. Melesse, Pier Francesco Orrù

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(8), P. 2083 - 2083

Published: April 17, 2025

The growing demand for efficient and sustainable energy solutions underscores the importance of advancing solar technologies, particularly Concentrated Solar Power (CSP) systems. This review presents a structured evaluation two key innovation domains in CSP: application nanofluids adoption Industry 4.0 technologies. first part analyzes experimental simulation-based studies on nanofluid-enhanced CSP systems, covering four major collector types—parabolic trough, power tower, dish, Fresnel reflectors. Nanofluids have been shown to significantly enhance thermal efficiency, with hybrid formulations offering greatest improvements. second examines role technologies—including artificial intelligence (AI), machine learning (ML), digital twins (DT)—in improving system monitoring, performance prediction, operational reliability. Although few recent explore combined use tools most research addresses these areas independently. identifies this lack integration as gap current literature. By presenting separate yet complementary analyses, study offers comprehensive overview emerging pathways optimization. Key challenges future directions are highlighted, nanofluid stability, cost-efficiency, implementation at scale.

Language: Английский

Citations

0

Application of the ANN Method in the Network Recommendation Algorithm DOI

佳利 谢

Computer Science and Application, Journal Year: 2024, Volume and Issue: 14(11), P. 107 - 118

Published: Jan. 1, 2024

Language: Английский

Citations

0