An approach towards demand response optimization at the edge in smart energy systems using local clouds

Javed, Salman; Tripathy, Aparajita; Deventer, Jan van; Mokayed, Hamam; Paniagua, Cristina; Delsing, Jerker

doi:10.1016/j.segy.2023.100123

Cited by 9 publications

(2 citation statements)

References 31 publications

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“…AI collects, analyzes, and interprets data from IoT devices to enable self-directed, data-driven decision making. Increased efficiency and flexibility are the results of this synergy in smart production settings [25]- [31].…”

Section: Ai-iot Convergencementioning

confidence: 99%

IoT and AI Integration: An Experiment on Smart Manufacturing Efficiency in Industry 5.0

Dmitrieva,

Krishna,

Chhabra

et al. 2024

BIO Web Conf.

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In line with the Industry 5.0 paradigm, this empirical research offers a data-driven investigation of the revolutionary effects of combining IoT and AI in smart manufacturing. The findings show a notable 1.52% gain in production efficiency, which is attributed to post-implementation temperature increases of 36.2°C and humidity decreases of 44.8%. A decrease in faults found (2) led to a 0.76% increase in quality scores (93.1) for quality control. With fewer maintenance hours (2.3) and downtime (52 minutes), maintenance practices were more effective. These results highlight the concrete advantages of integrating IoT and AI in smart manufacturing, putting it at the vanguard of Industry 5.0's revolutionary landscape and improving productivity, quality, and maintenance.

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Section: Ai-iot Convergencementioning

confidence: 99%

IoT and AI Integration: An Experiment on Smart Manufacturing Efficiency in Industry 5.0

Dmitrieva,

Krishna,

Chhabra

et al. 2024

BIO Web Conf.

View full text Add to dashboard Cite

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“…Javed S. and McKayed H. (purple) chose to contribute, through their research, to smart cities [82] and smart energy [83]. Luthra S. and Kumar A.…”

Section: Authorsmentioning

confidence: 99%

Beyond Industry 4.0: Tracing the Path to Industry 5.0 through Bibliometric Analysis

Ciucu-Durnoi,

Delcea,

Stănescu

et al. 2024

Sustainability

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The rapid advancement of technology has led to significant milestones in industrial progress, surpassing previous capabilities and presenting new challenges for adaptation. The current phase of industrial revolutions is characterized by accelerated technological development, particularly in automation and digitalization. For instance, the global industrial robotics market was valued at approximately USD 43.0 billion in 2022 and is projected to reach USD 70.6 billion by 2028. The integration of human labor alongside robotic machinery, though a tangible reality, may still seem abstract in certain regions. Despite the recent announcement of the fourth industrial revolution, Industry 5.0 has quickly emerged as the new standard toward which industries aspire. This study performs a bibliometric analysis of articles published between 2020 and 2023 that explores the implications of these two industrial revolutions and the transition between them. Using the Clarivate Analytics’ Web of Science Core Collection, the study identifies 154 articles using the Biblioshiny package in R, which simultaneously discuss Industry 4.0 and Industry 5.0 within their titles, abstracts, or keywords. An impressive annual growth rate of 119.47% among the published papers included in the dataset underlines the interest of the research community in this field. Additionally, key findings include the identification of prominent sources, prolific authors, highly cited articles and their content, as well as common research themes explored across the analyzed papers. Among the most relevant sources in terms of the number of publications, the journal Sustainability plays a key role, holding the first position, followed by Applied Sciences, and Sensors. In terms of motor themes, digital transformation, artificial intelligence, the Internet of Things, and smart manufacturing have been found to play a key role. As a result, the present research contributes to understanding the rapid evolution from Industry 4.0 to Industry 5.0, highlighting key trends, influential research, and emerging themes that are shaping the future of industrial advancements.

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Energy optimization of the smart residential electrical grid considering demand management approaches

Zhang,

Wu,

et al. 2024

Energy

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An approach towards demand response optimization at the edge in smart energy systems using local clouds

Cited by 9 publications

References 31 publications

IoT and AI Integration: An Experiment on Smart Manufacturing Efficiency in Industry 5.0

IoT and AI Integration: An Experiment on Smart Manufacturing Efficiency in Industry 5.0

Beyond Industry 4.0: Tracing the Path to Industry 5.0 through Bibliometric Analysis

Energy optimization of the smart residential electrical grid considering demand management approaches

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