2018
DOI: 10.1109/msmc.2018.2811709
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Why Smart Appliances May Result in a Stupid Grid: Examining the Layers of the Sociotechnical Systems

Abstract: This article discusses unexpected consequences of idealistic conceptions about the modernization of power grids. It focuses on demand-response policies based on automatic decisions by smart home appliances. Following the usual approach, individual appliances sense a universal signal (namely, grid frequency or price) that reflects the system state. Such information is the basis of their decisions. While each device has a negligible impact, their aggregate effect is expect to improve the system efficiency; this … Show more

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Cited by 16 publications
(6 citation statements)
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“…These mechanisms are well known in the literature on multi-agent systems, where simple decision rules lead to group coordination to form engineered swarms (Brambilla et al 2013). Swarms, as self-organized systems, are defined by relatively autonomous agents that answer to external stimuli following simple heuristics or rules of thumb (Kühnlenz and Nardelli 2016; Kühnlenz, Nardelli and Alves 2018;Nardelli and Kühnlenz 2018). Note, however, that not all heuristics lead to swarm behavior: they either emerge in non-teleological open-ended evolutionary processes or are engineered toward specified goals.…”
Section: Social Media Dynamics and Active Guerrilla Terrainmentioning
confidence: 99%
“…These mechanisms are well known in the literature on multi-agent systems, where simple decision rules lead to group coordination to form engineered swarms (Brambilla et al 2013). Swarms, as self-organized systems, are defined by relatively autonomous agents that answer to external stimuli following simple heuristics or rules of thumb (Kühnlenz and Nardelli 2016; Kühnlenz, Nardelli and Alves 2018;Nardelli and Kühnlenz 2018). Note, however, that not all heuristics lead to swarm behavior: they either emerge in non-teleological open-ended evolutionary processes or are engineered toward specified goals.…”
Section: Social Media Dynamics and Active Guerrilla Terrainmentioning
confidence: 99%
“…Heuristic scheduling (HS) algorithms comprise an important group of techniques to realize energy optimization and load shifting operations in HEMSs. Many heuristic algorithms have been explored previously, depending on the problem setup and conditions [2], [7], [11]- [19]. Among the various optimization algorithms, the genetic algorithm (GA) and harmony search algorithm (HSA) are two important algorithms that are particularly suitable for solving constraint-optimizationbased scheduling problems and the flexible selection criteria of achieving an optimal (balanced) combination of exploration and exploitation [11], [20], [21].…”
Section: Heuristic Scheduling Algorithmsmentioning
confidence: 99%
“…Network science and study of complex networks are additional promising techniques for the telecommunications community's emergent toolbox of the future. The complexity is both a blessing and a curse: unintended consequences may lead to massive failures of complex networks of "smart agents" [22], but carefully designed solutions have a lot of promise for the future of technology facing climate emergency and the demise of current economic systems [23].…”
Section: Learning Dynamical Systems In Wireless Communicationsmentioning
confidence: 99%