新一代通用能源人工智能,为智慧能源导航

IF 7.9 2区 综合性期刊 Q1 CHEMISTRY, MULTIDISCIPLINARY
Xu Zhu, Siliang Chen, Xinbin Liang, Xinqiao Jin, Zhimin Du
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引用次数: 0

摘要

高度灵活可靠的人工智能(AI)的快速发展有望释放出变革能力,以应对迫在眉睫的能源和环境挑战。面向未来能源,我们提出了这一观点,并引入了一种开创性的多功能能源人工智能范式,即能源人工通用智能(AGIE)。AGIE 的设计目的是利用能源参数、设备图像和专家语音反馈等信息,灵活地解决一系列与能源相关的问题。AGIE 的应用多种多样,从能源诊断和运行优化到提供能源政策建议,不一而足。通过融入人机交互和利用领域知识,AGIE 能够吸收能源用户的习惯。通过持续强化学习,它希望建立一种可解释推理的新范例,为开发具有类似人类理解能力的可靠能源机器人铺平道路。我们预计,支持 AGIE 的应用将为能源利用带来新的方法,并带来严峻的技术和社会挑战,包括数据整合、隐私和安全问题、环境影响以及软硬件限制等。解决这些问题对于充分发挥通用能源智能的潜力、提高能源效率和解决全球能源问题至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Next-generation generalist energy artificial intelligence for navigating smart energy

Next-generation generalist energy artificial intelligence for navigating smart energy

The rapid advancement of highly flexible and reliable artificial intelligence (AI) holds the promise of unlocking transformative capabilities in response to imminent energy and environmental challenges. Toward future energy, we propose this perspective and introduce a groundbreaking paradigm for a versatile energy AI, termed artificial general intelligence for energy (AGIE). AGIE is designed to address a spectrum of energy-related issues with flexibility, drawing upon information such as energy parameters, equipment images, and expert voice feedback. The applications of AGIE are diverse, ranging from energy diagnostics and operational optimization to offering advice on energy policies. By incorporating human-in-the-loop interactions and leveraging domain knowledge, AGIE has the capacity to assimilate the habits of energy users. Through continuous reinforcement learning, it aspires to establish a new paradigm of explainable reasoning, paving the way for the development of credible energy robots with attributes similar to human understanding. We anticipate that AGIE-enabled applications will lead to new approaches in energy usage and the consideration of serious technical and societal challenges ranging from data integration to privacy and security concerns, environmental impacts, and constraints in hardware and software. Addressing these issues is crucial for realizing the full potential of generalist energy intelligence, leading to enhanced energy efficiency and contributing to the resolution of global energy problems.

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来源期刊
Cell Reports Physical Science
Cell Reports Physical Science Energy-Energy (all)
CiteScore
11.40
自引率
2.20%
发文量
388
审稿时长
62 days
期刊介绍: Cell Reports Physical Science, a premium open-access journal from Cell Press, features high-quality, cutting-edge research spanning the physical sciences. It serves as an open forum fostering collaboration among physical scientists while championing open science principles. Published works must signify significant advancements in fundamental insight or technological applications within fields such as chemistry, physics, materials science, energy science, engineering, and related interdisciplinary studies. In addition to longer articles, the journal considers impactful short-form reports and short reviews covering recent literature in emerging fields. Continually adapting to the evolving open science landscape, the journal reviews its policies to align with community consensus and best practices.
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