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

Author:   Huiwei Wang ,  Huaqing Li ,  Bo Zhou
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2021
ISBN:  

9789813345300


Pages:   217
Publication Date:   06 January 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Distributed Optimization, Game and Learning Algorithms: Theory and Applications in Smart Grid Systems


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Overview

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.

Full Product Details

Author:   Huiwei Wang ,  Huaqing Li ,  Bo Zhou
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2021
Weight:   0.367kg
ISBN:  

9789813345300


ISBN 10:   9813345306
Pages:   217
Publication Date:   06 January 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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Author Information

Huiwei WANG received his Ph.D. in Computer Science from Chongqing University, China, in 2014. Now, he is Associate Professor in Southwest University, China. He was Postdoctoral Research Associate with Texas A&M University at Qatar, from 2014 to 2016, and Research Fellow with the University of New South Wales, Australia, from 2019 to 2020. Huaqing LI received his Ph.D. in Computer Science from Chongqing University, China, in 2013. Now, he is Professor in Southwest University, China. He was Postdoctoral Research Associate with the University of Sydney, Australia, from 2014 to 2015, and Research Fellow with Nanyang Technological University, Singapore from, 2015 to 2016. Bo ZHOU received his Ph.D. in Applied Mathematics from Southwest University, China, in 2016. Now, he is Associate professor in Chongqing Jiaotong University, China.   

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