Distributed Learning in Hierarchical Networks

Hélène Le Cadre () and Jean-Sébastien Bedo ()
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Hélène Le Cadre: LIMA (CEA, LIST) - Laboratoire Information, Modèles, Apprentissage (CEA, LIST) - DM2I (CEA, LIST) - Département Métrologie Instrumentation & Information (CEA, LIST) - LIST (CEA) - Laboratoire d'Intégration des Systèmes et des Technologies - DRT (CEA) - Direction de Recherche Technologique (CEA) - CEA - Commissariat à l'énergie atomique et aux énergies alternatives - Université Paris-Saclay
Jean-Sébastien Bedo: Orange Labs [Paris] - Telecom Orange

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Abstract: In this article, we propose distributed learning based approaches to study the evolution of a decentralized hierarchical system, an illustration of which is the smart grid. Smart grid management requires the control of non-renewable energy production and the inegration of renewable energies which might be highly unpredictable. Indeed, their production levels rely on uncontrolable factors such as sunshine, wind strength, etc. First, we derive optimal control strategies on the non-renewable energy productions and compare competitive learning algorithms to forecast the energy needs of the end users. Second, we introduce an online learning algorithm based on regret minimization enabling the agents to forecast the production of renewable energies. Additionally, we define organizations of the market promoting collaborative learning which generate higher performance for the whole smart grid than full competition.

Keywords: online learning; Distributed Learning; Coalition; Algorithmic Game Theory; machine learning; control engineering computing; hierarchical systems; optimal control; Regret; power system control; power system management; renewable energy sources; smart power grid; smart grid; smart grid management; optimal control strategy; competitive learning algorithm; energy forecasting; artificial intelligence; power engineering computing; distributed learning approach; decentralized hierarchical network system; nonrenewable energy production control; renewable energy integration control (search for similar items in EconPapers)
Date: 2012-10-09
New Economics Papers: this item is included in nep-cmp, nep-cse, nep-ene and nep-for
Note: View the original document on HAL open archive server: https://hal.science/hal-00740905v1
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Citations: View citations in EconPapers (3)

Published in 6th International ICST Conference on Performance Evaluation Methodologies and Tools (ValueTools 2012), Oct 2012, Cargèse, France. http://valuetools.org/2012/show/home, ⟨10.4108/valuetools.2012.250217⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00740905

DOI: 10.4108/valuetools.2012.250217

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