Artificial intelligence and machine learning applications in energy storage system: technology overview and perspectives

Kumar, Nayan; Prabhansu, -

doi:10.1016/b978-0-323-90521-3.00014-4

Cited by 4 publications

(4 citation statements)

References 54 publications

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“… [ 27 , [115] , [116] , [117] , [118] , [119] ] Artificial Intelligence (AI) Developing systems that can learn, think, and act like humans. [ 8 , 10 , 16 , 107 , 108 ] Cyber-physical systems Integrating physical and digital processes to control production. [ 25 , 80 , 90 ], Digital twinning Creating digital models of physical objects to monitor their performance.…”

Section: Results and Analysismentioning

confidence: 99%

“…The literature [ [15] , [16] , [17] ] supports this argument by providing evidence, research findings, and insights related to the advantages of smart grid systems in addressing issues such as grid variability and intermittency, discussing the potential benefits, cost-effectiveness, environmental impact, and other relevant aspects of implementing smart grid technologies. Legal frameworks and innovations in industries have been researched to ensure the successful implementation of smart grids [ 18 ].…”

Section: Conceptual Backgroundmentioning

confidence: 99%

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The potential of industry 4.0 for renewable energy and materials development – The case of multinational energy companies

Onu,

Pradhan,

Mbohwa

2023

Heliyon

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Section: Results and Analysismentioning

confidence: 99%

Section: Conceptual Backgroundmentioning

confidence: 99%

The potential of industry 4.0 for renewable energy and materials development – The case of multinational energy companies

Onu,

Pradhan,

Mbohwa

2023

Heliyon

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“…Gene-editing techniques, especially clustered regularly interspaced short palindromic repeats (CRISPR), have opened new avenues for improving crop traits. Smart greenhouses, integrating renewable energy sources, advanced climate control systems, and remote management capabilities, have become hallmarks of modern vegetable farming ( Deshmukh et al., 2020 ; Fizikova et al., 2021 ; Kumar and Prabhansu, 2022 ; Zhu and Shang, 2022 ; Furquim et al., 2023 ).…”

Section: Historical Overviewmentioning

confidence: 99%

Advancing horizons in vegetable cultivation: a journey from ageold practices to high-tech greenhouse cultivation—a review

Ahmed,

Zhang,

Deng

et al. 2024

Front. Plant Sci.

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Vegetable cultivation stands as a pivotal element in the agricultural transformation illustrating a complex interplay between technological advancements, evolving environmental perspectives, and the growing global demand for food. This comprehensive review delves into the broad spectrum of developments in modern vegetable cultivation practices. Rooted in historical traditions, our exploration commences with conventional cultivation methods and traces the progression toward contemporary practices emphasizing the critical shifts that have refined techniques and outcomes. A significant focus is placed on the evolution of seed selection and quality assessment methods underlining the growing importance of seed treatments in enhancing both germination and plant growth. Transitioning from seeds to the soil, we investigate the transformative journey from traditional soil-based cultivation to the adoption of soilless cultures and the utilization of sustainable substrates like biochar and coir. The review also examines modern environmental controls highlighting the use of advanced greenhouse technologies and artificial intelligence in optimizing plant growth conditions. We underscore the increasing sophistication in water management strategies from advanced irrigation systems to intelligent moisture sensing. Additionally, this paper discusses the intricate aspects of precision fertilization, integrated pest management, and the expanding influence of plant growth regulators in vegetable cultivation. A special segment is dedicated to technological innovations, such as the integration of drones, robots, and state-of-the-art digital monitoring systems, in the cultivation process. While acknowledging these advancements, the review also realistically addresses the challenges and economic considerations involved in adopting cutting-edge technologies. In summary, this review not only provides a comprehensive guide to the current state of vegetable cultivation but also serves as a forward-looking reference emphasizing the critical role of continuous research and the anticipation of future developments in this field.

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“…However, the adoption of these technologies also poses challenges, such as the need for explainability and ethical considerations. As financial institutions continue to leverage AI and ML to navigate complex market dynamics, the ongoing refinement of algorithms and the establishment of ethical frameworks remain crucial to ensure responsible and secure integration of these technologies within the financial landscape [22], [23].…”

Section: Artificial Intelligence (Ai) and Machine Learning (Ml)mentioning

confidence: 99%

Navigating the nexus of security and privacy in modern financial technologies

Florence Olweny

2024

GSC Adv. Res. Rev.

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As the financial service sector rapidly evolves with the integration of cutting-edge technologies, the intersection of security and privacy becomes paramount. This paper delves into the intricate landscape of security and privacy issues within the financial service sector, offering a comprehensive analysis of the challenges and opportunities presented by emerging technologies. From blockchain to artificial intelligence, the paper explores the vulnerabilities inherent in these innovations and the consequential threats to sensitive financial data. Through an examination of recent case studies, regulatory frameworks, and technological advancements, this work aims to provide a nuanced understanding of the evolving threat landscape. Additionally, the paper proposes strategic solutions and best practices to fortify the security and privacy architecture surrounding financial technologies, fostering a resilient and trustworthy ecosystem. This research contributes to the ongoing dialogue surrounding the imperative of safeguarding financial systems, ensuring that innovation aligns seamlessly with the imperatives of confidentiality, integrity, and availability in an era where financial services and technological advancements are inextricably linked.

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Artificial intelligence and machine learning applications in energy storage system: technology overview and perspectives

Cited by 4 publications

References 54 publications

The potential of industry 4.0 for renewable energy and materials development – The case of multinational energy companies

The potential of industry 4.0 for renewable energy and materials development – The case of multinational energy companies

Advancing horizons in vegetable cultivation: a journey from ageold practices to high-tech greenhouse cultivation—a review

Navigating the nexus of security and privacy in modern financial technologies

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