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Cited by 369

The DOI matches its Crossref record; 161 of the 161 references it cites were found in a registry or an index.

Energetics Systems and artificial intelligence: Applications of industry 4.0

Open access
Ahmad, Tanveer, Zhu, Hongyu, Zhang, Dongdong, Tariq, Rasikh, Bassam, A., Ullah, Fasee, AlGhamdi, Ahmed S, Alshamrani, Sultan S.·2022·Energy Reports

Abstract

Industrial development with the growth, strengthening, stability, technical advancement, reliability, selection, and dynamic response of the power system is essential. Governments and companies invest billions of dollars in technologies to convert, harvest, rising demand, changing demand and supply patterns, efficiency, lack of analytics required for optimal energy planning, and store energy. In this scenario, artificial intelligence (AI) is starting to play a major role in the energy market. Recognizing the importance of AI, this study was conducted on seven different energetics systems and their variety of applications, including: i) electricity production; ii) power delivery; iii) electric distribution networks; iv) energy storage; v) energy saving, new energy materials, and devices; vi) energy efficiency and nanotechnology; and vii) energy policy, and economics. The main drivers are the four key techniques used in current AI technologies, including: i) fuzzy logic systems; ii) artificial neural networks; iii) genetic algorithms; and iv) expert systems. In developed countries, the power industry has started using AI to connect with smart meters, smart grids, and the Internet of Things devices. These AI technologies will lead to the improvement of efficiency, energy management, transparency, and the usage of renewable energies. In recent decades/years, new AI technology has brought significant improvements to how power system devices monitor data, communicate with the system, analyze input–output, and display data in unprecedented ways. New applications in the energy system become feasible when these new AI developments are incorporated into the energy industry. But on the contrary, much more investment is needed in global research into AI and data-driven models. In terms of power supply, AI can help utilities provide customers with renewable and affordable electricity from complex sources in a secure manner, while at the same time providing these customers with the opportunity to use their own energy more efficiently. Moreover, policy recommendations, research opportunities, and how industry 4.0 will improve sustainability have been briefly described.

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Crossref · 10.1016/j.egyr.2021.11.256

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Metadata

Authors
Ahmad, T., Zhu, H., Zhang, D., Tariq, R., Bassam, A., Ullah, F., AlGhamdi, A. S., & Alshamrani, S. S.
Venue
Energy Reports
Publisher
Elsevier BV
Published
2022-11
Volume
8
Pages
334-361
ISSN
2352-4847 (ISSN-L)
OpenAlex
W4200609187
Cited by
369
References
161
FWCI
14.47
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Energetics Systems and artificial intelligence: Applications of industry 4.0. https://app.cochat.ai/papers/10.1016/j.egyr.2021.11.256
The paper
Ahmad, T., Zhu, H., Zhang, D., Tariq, R., Bassam, A., Ullah, F., AlGhamdi, A. S., & Alshamrani, S. S. (2022). Energetics Systems and artificial intelligence: Applications of industry 4.0. Energy Reports. https://doi.org/10.1016/j.egyr.2021.11.256

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