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A comprehensive review of AI-enhanced smart grid integration for hydrogen energy: Advances, challenges, and future prospects
M SaberiKamarposhti, H Kamyab, S Krishnan… - International Journal of …, 2024 - Elsevier
The convergence of hydrogen energy with artificial intelligence (AI) in smart infrastructure
has significant potential to revolutionise the worldwide energy sector. This article thoroughly …
has significant potential to revolutionise the worldwide energy sector. This article thoroughly …
[HTML][HTML] The Russia-Ukraine conflict: Its implications for the global food supply chains
Food is one of the most traded goods, and the conflict in Ukraine, one of the European
breadbaskets, has triggered a significant additional disruption in the global food supply …
breadbaskets, has triggered a significant additional disruption in the global food supply …
A high-accuracy phishing website detection method based on machine learning
The rapid development of e-commerce, e-banking, and social networks has made phishing
attack detection one of the most critical technologies in all cyber security systems. To …
attack detection one of the most critical technologies in all cyber security systems. To …
[HTML][HTML] Designing and prototy** the architecture of a digital twin for wind turbine
This paper outlines the key components necessary to develop a digital twin (DT) for a wind
turbine, aiming to provide a detailed methodology and guidelines for building this system …
turbine, aiming to provide a detailed methodology and guidelines for building this system …
Tracking and predicting technological knowledge interactions between artificial intelligence and wind power: Multimethod patent analysis
J Wang, L Cheng, L Feng, KY Lin, L Zhang… - Advanced Engineering …, 2023 - Elsevier
To track the dynamics of AI and wind power technology knowledge interaction and predict
future interaction directions, this study proposes a multiview and multilayer patent analysis …
future interaction directions, this study proposes a multiview and multilayer patent analysis …
Predicting compressive strength of high-performance concrete with high volume ground granulated blast-furnace slag replacement using boosting machine learning …
V Rathakrishnan, S Bt. Beddu, AN Ahmed - Scientific Reports, 2022 - nature.com
Predicting the compressive strength of concrete is a complicated process due to the
heterogeneous mixture of concrete and high variable materials. Researchers have predicted …
heterogeneous mixture of concrete and high variable materials. Researchers have predicted …
Machine learning autoencoder‐based parameters prediction for solar power generation systems in smart grid
During the fourth energy revolution, artificial intelligence implementation is necessary in all
fields of technology to meet the increasing energy demands and address the diminishing …
fields of technology to meet the increasing energy demands and address the diminishing …
[HTML][HTML] A survey on recent applications of artificial intelligence and optimization for smart grids in smart manufacturing
CC Hsu, BH Jiang, CC Lin - Energies, 2023 - mdpi.com
To enable highly automated manufacturing and net-zero carbon emissions, manufacturers
have invested heavily in smart manufacturing. Sustainable and smart manufacturing …
have invested heavily in smart manufacturing. Sustainable and smart manufacturing …
[HTML][HTML] Use of state-of-art machine learning technologies for forecasting offshore wind speed, wave and misalignment to improve wind turbine performance
One of the most promising solutions that stands out to mitigate climate change is floating
offshore wind turbines (FOWTs). Although they are very efficient in producing clean energy …
offshore wind turbines (FOWTs). Although they are very efficient in producing clean energy …
RAGN-L: a stacked ensemble learning technique for classification of fire-resistant columns
AÖ Çiftçioğlu - Expert Systems with Applications, 2024 - Elsevier
One of the main challenges in using reinforced concrete materials in structures is to
comprehend their fire resistance. The assessment of fire resistance can be performed in a …
comprehend their fire resistance. The assessment of fire resistance can be performed in a …