一个有说服力的多智能体模拟器,以提高电能消耗

IF 1.3 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
F. Mota, C. Steffens, D. Adamatti, S. Botelho, V. Rosa
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引用次数: 3

摘要

摘要收集电能消耗信息对于协助制定计划的公司和机构来说非常重要。多代理系统可以帮助这些公司理解在由自治实体组成的社会背景下呈现的不同行为。我们提出了一种能够模拟消费者和设备的不同配置文件的多智能体模拟器。我们的方法与其他方法在三个基本方面不同:一)。它对难以预测的参数进行建模,这些参数使用可用记录提供的值进行校准;ii)。它可以应用于不同的模拟环境,包括个人行为和家用电器的不同程度的可扩展性和异质性;iii)。它模拟了系统的复杂性,通过模拟用户和电器之间的交互来提供估计。该模型获得的结果与文献中提供的数字相似,这表明了所提出方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A persuasive multi-agent simulator to improve electrical energy consumption
ABSTRACT Gathering information on electric energy consumption is important for companies and institutions aiding in making plans. Multi-agent systems can aid such companies in understanding the different behaviours presented within the context of a society constituted by autonomous entities. We propose a multi-agent simulator capable of emulating different profiles of consumers and equipment. Our approach differs from others in three fundamental aspects: i). it models parameters that are difficult to predict, which are calibrated using values provided by available records; ii). it can be applied to different simulation environments involving various degrees of scalability and heterogeneity of profiles both of individual behaviour and household appliances; iii). it simulates the complexity of the system, providing estimates through the simulation of the interaction between users and electrical appliances. The results obtained by the model were similar to the numbers provided by the literature, which suggests the validity of the proposed approach.
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来源期刊
Journal of Simulation
Journal of Simulation COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-OPERATIONS RESEARCH & MANAGEMENT SCIENCE
CiteScore
5.70
自引率
16.00%
发文量
42
期刊介绍: Journal of Simulation (JOS) aims to publish both articles and technical notes from researchers and practitioners active in the field of simulation. In JOS, the field of simulation includes the techniques, tools, methods and technologies of the application and the use of discrete-event simulation, agent-based modelling and system dynamics.
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