动态开放环境下的多智能体能源管理系统:体系结构与优化

O. Kem, Feirouz Ksontini
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引用次数: 1

摘要

物联网设备的智能和动态环境的日益增加给能源优化带来了新的挑战,例如处理环境的动态和隐私问题。在本文中,我们的目标是在这种环境下优化能源消耗,利用建筑灵活性来减少能源费用,同时尊重用户偏好和设备约束,并解决环境的复杂性。提出了一种基于乘数交替方向法的多智能体优化系统来解决优化问题。对该提案的各种评估表明,在解决动态问题和保护隐私的同时,显著节省了能源成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Multi-Agent System for Energy Management in a Dynamic and Open Environment: Architecture and Optimisation
The increasing presence of smart and dynamic environments with IoT devices creates new challenges in energy optimisation such as handling environments’ dynamics and privacy concerns. In this paper, we aim at optimising energy consumption in such environments, exploiting building flexibility to reduce energy bills, while respecting user preferences as well as device constraints and addressing the complexity of the environment. We propose a multi-agent optimisation system based on Alternating Direction Method of Multipliers to solve the optimisation problem. Various evaluations of the proposal show significant energy cost savings, while addressing dynamics and preserving privacy.
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