Distributed Optimization, Game and Learning Algorithms Theory and Applications in Smart Grid Systems

This book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly in optimization,-and also many other issues like time-varying topology, communication delay, equality or inequality constraints,-and random projections. This book is meant for...

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Bibliographic Details
Main Authors: Wang, Huiwei, Li, Huaqing (Author), Zhou, Bo (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2021, 2021
Edition:1st ed. 2021
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Distributed Optimization, Game and Learning Algorithms  |h Elektronische Ressource  |b Theory and Applications in Smart Grid Systems  |c by Huiwei Wang, Huaqing Li, Bo Zhou 
250 |a 1st ed. 2021 
260 |a Singapore  |b Springer Nature Singapore  |c 2021, 2021 
300 |a XVII, 217 p. 51 illus., 48 illus. in color  |b online resource 
505 0 |a Cooperative Distributed Optimization in Multiagent Networks with Delays -- Constrained Consensus of Multi-Agent Systems with Time-Varying Topology -- Distributed Optimization under Inequality Constraints and Random Projections -- Accelerated Distributed Optimization over Digraphs with Stochastic Matrices -- Linear Convergence for Constrained Optimization over Time-Varying Digraphs -- Stochastic Gradient-Push for Economic Dispatch on Time-Varying Digraphs -- Reinforcement Learning in Energy Trading Game Among Smart Microgrids -- Reinforcement Learning for Constrained Games with Incomplete Information -- Reinforcement Learning for PHEV Route Choice based on Congestion Game 
653 |a Optimization 
653 |a Energy Grids and Networks 
653 |a Electric power distribution 
653 |a Game theory 
653 |a Game Theory 
653 |a Mathematical optimization 
700 1 |a Li, Huaqing  |e [author] 
700 1 |a Zhou, Bo  |e [author] 
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856 4 0 |u https://doi.org/10.1007/978-981-33-4528-7?nosfx=y  |x Verlag  |3 Volltext 
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520 |a This book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly in optimization,-and also many other issues like time-varying topology, communication delay, equality or inequality constraints,-and random projections. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response management and PHEV routing of smart grids