Inspiration from animal's collective behavior for home energy demand management

Inspiration from animal's collective behavior for home energy demand management
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动物集体行为对家庭能源需求管理的启发

DOI:
10.1088/1742-6596/2600/2/022013
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发表时间:
2023
期刊:
Conference Series
影响因子:
--
通讯作者:
Badarnah L
Badarnah L
中科院分区:
--
文献类型:
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作者:
Badarnah L

文献摘要

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讨论了一种通过用户行为管理能源需求的跨学科方法,借鉴了自然界集体行为研究的知识。关于家庭能源需求管理的研究主要集中在社会、技术以及最近主要仅在个人层面上考虑的社会技术方面。然而,社会研究的新趋势要求在个人层面以外的不同社会和空间尺度上进行探索。这项工作将集体觅食决策的几个原则和机制与响应需求的自然区分开来,包括自组织和污名方面。潜在生物系统和行为方面仿真的范围划分旨在为基于代理的建模(ABM)提供基础。集体行为产生于群体内个体的局部相互作用,个体与其环境之间的非线性相互作用使他们能够在不涉及中央控制系统的情况下完成诸如结构构建等任务。自然界对需求的反应受到信息流、加工、感知以及个人、群体和环境之间的沟通和协调模式的显著影响。通过研究这些相互作用并使其原则适应家庭能源管理的背景,我们可以开发出新的、更高效、可持续和有弹性的方法。
An interdisciplinary approach towards managing energy demand through users' behavior is discussed, drawing on knowledge from studies on collective behavior in nature. Studies on home energy demand management have focused mainly on social, technical and, more recently, socio-technical aspects that are considered largely at the individual levels only. However, emerging trends in social studies call for explorations across different social and spatial scales beyond the individual levels. This work distinguishes several principles and mechanisms of collective foraging decision-making from nature that respond to demand, including aspects of self-organization and stigmergy. The scoping of potential biological systems and behavioral aspects emulation aims to provide a foundation for agent-based modelling (ABM). Collective behavior emerges from local interactions of the individuals within a group, and nonlinear interactions between individuals and their environment enable them to accomplish tasks, such as structural construction, without the involvement of centralized control systems. Response to demand in nature is significantly influenced by information flow, processing, perception, and communication and coordination patterns between individuals, groups, and their environment. By studying these interactions and adapting their principles to the context of home energy management, we can develop new, more efficient, sustainable, and resilient approaches.