Energetics Systems and artificial intelligence: Applications of industry 4.0
Энергетические системы и искусственный интеллект: применение технологий Индустрии 4.0
2021-12-16
SCID: 54.1/xxn7hmwp
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Industry 4.0artificial intelligenceenergy storagerenewable energysmart grids
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Abstract (AI)
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.
Key Findings
1
AI integration with smart meters, smart grids, and Internet of Things devices can improve efficiency, energy management, transparency, and renewable-energy utilization.
2
Despite its potential to provide secure, affordable renewable electricity from complex sources, broader global investment in AI and data-driven energy research remains necessary.
3
Four principal AI techniques drive current energy-system applications: fuzzy logic, artificial neural networks, genetic algorithms, and expert systems.
4
Recent AI advances enhance monitoring, communication, input-output analysis, and data visualization for power-system devices, enabling new energy applications.
5
The study reviews AI applications across seven energy domains, including generation, transmission, distribution, storage, efficiency, materials, and energy policy.
Research Object
Energetics systems and their Industry 4.0 applications, including electricity production, power delivery, distribution networks, energy storage, energy efficiency, and energy policy
Research Subject
Applications of artificial intelligence for improving energy-system efficiency, management, reliability, monitoring, analysis, and renewable-energy integration
Publication Details
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2021-12-16
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References available in scid.ai4
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