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Multi-Block ADMM for Big Data Optimization in Smart Grid [article]

Lanchao Liu, Zhu Han
2015 arXiv   pre-print
In this paper, we review the parallel and distributed optimization algorithms based on alternating direction method of multipliers (ADMM) for solving "big data" optimization problem in smart grid communication  ...  Next, we describe the general form of ADMM and then focus on several direct extensions and sophisticated modifications of ADMM from 2-block to N-block settings to deal with the optimization problem.  ...  In this paper, we focus on the application of ADMM for the "big data" optimization problem in smart grid communication networks.  ... 
arXiv:1503.00054v1 fatcat:zujamza2lvhyzdkn53hjvyjosy

Multi-Block ADMM for Big Data Optimization in Modern Communication Networks

Lanchao Liu, Zhu Han
2015 Journal of Communications  
Abstract-In this paper, we review the parallel and distributed optimization algorithms based on the Alternating Direction Method of Multipliers (ADMM) for solving "big data" optimization problems in modern  ...  data management, and the smart grid evolution.  ...  In this paper, we focus on the application of ADMM for the "big data" optimization problem in communication networks like smart grids and Software Defined Networks (SDNs).  ... 
doi:10.12720/jcm.10.9.666-676 fatcat:cbemr6vyorcybidydmn35iyuxi

Multi-Block ADMM for Big Data Optimization in Modern Communication Networks [article]

Lanchao Liu, Zhu Han
2015 arXiv   pre-print
In this paper, we review the parallel and distributed optimization algorithms based on the alternating direction method of multipliers (ADMM) for solving "big data" optimization problems in modern communication  ...  Finally, we numerate several applications in communication networks, such as the security constrained optimal power flow problem in smart grid networks and mobile data offloading problem in software defined  ...  In this paper, we focus on the application of ADMM for the "big data" optimization problem in communication networks like smart grids and software defined networks (SDNs).  ... 
arXiv:1504.01809v1 fatcat:xwaugx7ybza27l45houbcb5vai

A Survey Work on Optimization Techniques Utilizing Map Reduce Framework in Hadoop Cluster

Bibhudutta Jena, Mahendra Kumar Gourisaria, Siddharth Swarup Rautaray, Manjusha Pandey
2017 International Journal of Intelligent Systems and Applications  
Data is one of the most important and vital aspect of different activities in today's world. Therefore vast amount of data is generated in each and every second.  ...  Multi-Block ADMM for Big Data Optimization.  ...  Moderate Low Moderate Low Multi-Block ADMM for Big Data Optimization.  ... 
doi:10.5815/ijisa.2017.04.07 fatcat:pf5wyatfyrcovkifjezaydhzxe

Coordination of Smart Home Energy Management Systems in Neighborhood Areas: A Systematic Review

Farshad Etedadi Aliabadi, Kodjo Agbossou, Sousso Kelouwani, Nilson Henao, Sayed Saeed Hosseini
2021 IEEE Access  
INDEX TERMS Coordination, decomposition, home energy management, neighborhood coordination, smart grids, demand response. 36418 VOLUME 9, 2021  ...  Through a comprehensive investigation, this work elaborates significant remarks on critical gaps in existing studies toward a useful coordination structure for practical HEMSs implementations.  ...  This concept has recently become a research hot-spot in the smart grid due to its potential for mitigating grid stress without significant investments.  ... 
doi:10.1109/access.2021.3061995 fatcat:jkxxi66t4ngifcavb2yix2mwwm

Load Curve Data Cleansing and Imputation Via Sparsity and Low Rank

Gonzalo Mateos, Georgios B. Giannakis
2013 IEEE Transactions on Smart Grid  
The smart grid vision is to build an intelligent power network with an unprecedented level of situational awareness and controllability over its services and infrastructure.  ...  In this context, a novel load cleansing and imputation scheme is developed leveraging the low intrinsic-dimensionality of spatiotemporal load profiles and the sparse nature of "bad data."  ...  Vladimir Cherkassky (Dept. of ECE, University of Minnesota) for providing the data analyzed in Section V-B.  ... 
doi:10.1109/tsg.2013.2259853 fatcat:hqxbjgu6jfcjvdvje5bqwrbjyy

A Robust Block-Jacobi Algorithm for Quadratic Programming under Lossy Communications

M. Todescato, G. Cavraro, R. Carli, L. Schenato
2015 IFAC-PapersOnLine  
Our algorithm is numerically studied in the context of partition-based state estimation in smart grids based on the IEEE 123 nodes distribution feeder benchmark.  ...  We propose a novel solution based on a generalized gradient descent strategy, namely a Block-Jacobi descent algorithm, which is amenable for a distributed implementation and which is provably robust to  ...  Distributed optimization has become so important for two di↵erent reasons: the first reason is that with the advent of Big Data, it is unconceivable to run optimization algorithms on a single (super)-computer  ... 
doi:10.1016/j.ifacol.2015.10.318 fatcat:sfo7i7bvufatzd44kilw3viteu

On a Randomized Multi-Block ADMM for Solving Selected Machine Learning Problems [article]

Mingxi Zhu, Kresimir Mihic, Yinyu Ye
2020 arXiv   pre-print
Recently, a randomly assembled cyclic multi-block ADMM (RAC-MBADMM) was developed by the authors for solving general convex and nonconvex quadratic optimization problems where the number of blocks can  ...  We prove that the algorithm would converge in expectation linearly under the standard statistical data assumptions.  ...  Distributed variants of multi-block ADMM were suggested in [2, 30] .  ... 
arXiv:1907.01995v2 fatcat:4n5xvj6v3zbs3c3dwg2rxbhc74

Managing Randomization in the Multi-Block Alternating Direction Method of Multipliers for Quadratic Optimization [article]

Kresimir Mihic, Mingxi Zhu, Yinyu Ye
2020 arXiv   pre-print
This drawback may be overcome by enforcing a multi-block structure of the decision variables in the original optimization problem.  ...  Unfortunately, the multi-block ADMM, with more than two blocks, is not guaranteed to be convergent.  ...  In addition, our solver uses much less computation memory space than other ADMM based method do, so that it is suitable in real applications with big data.  ... 
arXiv:1903.01786v4 fatcat:awttuiwapnaapalucy5hesdwpy

Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing [article]

Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund, H. Vincent Poor
2020 arXiv   pre-print
We consider the problem of learning model parameters in a multi-agent system with data locally processed via distributed edge nodes.  ...  Big data, including applications with high security requirements, are often collected and stored on multiple heterogeneous devices, such as mobile devices, drones and vehicles.  ...  In general, compared to GD, ADMM is better suited for decentralized optimization and has been demonstrated to have fast convergence in many applications, such as smart grids [10] , wireless sensor networks  ... 
arXiv:2010.00914v1 fatcat:o7oy4w4hznehtok35l546kard4

Application of blockchain for secure data transmission in distributed state estimation [article]

Sajjad Asefi, Yash Madhwal, Yury Yanovich, Elena Gryazina
2021 arXiv   pre-print
The application of renewable energy sources in the power grid increases the necessity of tracking the system's state, especially in smart grids, where there is a bidirectional transfer of data and power  ...  The complexity of coupling between communication and the electrical infrastructure in a smart grid will create a higher chance for security breach.  ...  Another problem that has attracted the researcher's attention, especially in smart grids, is that the size and the speed of receiving data (so called big data) from measurement units might be infeasible  ... 
arXiv:2104.04232v2 fatcat:qrrtos7dtncbxemcxtmhhy6po4

Centralised and Distributed Optimization for Aggregated Flexibility Services Provision

Pol Olivella-Rosell, Juha Forsstrom, Stig Odegaard Ottesen, Roberto Villafafila-Robles, Andreas Sumper, Francesc Rulclan, Pau Lloret-Gallego, Eduardo Prieto-Araujo, Ricard Ferrer-San-Jose, Sara Barja-Martinez, Sigurd Bjarghov, Venkatachalam Lakshmanan (+1 others)
2020 IEEE Transactions on Smart Grid  
A case study is presented for optimal battery operation of 100 prosumer sites with real-life data.  ...  The recent deployment of distributed battery units in prosumer premises offer new opportunities for providing aggregated flexibility services to both distribution system operators and balance responsible  ...  ACKNOWLEDGMENT The authors thank Pecan Street, Inc. for allowing access to its DataPort database. E. Prieto is lecturer of the Serra Húnter programme.  ... 
doi:10.1109/tsg.2019.2962269 fatcat:ubn42b6u3zg2lkgtqnktvk5xee

Table of content

2020 2020 2nd International Conference on Industrial Artificial Intelligence (IAI)  
Li IAI20-0046 In-depth Analysis and Application of Power Grid Data for Location of Task Difficulties Jing Wang, Miao Li,Yue Qiu, Heng Wang IAI20-0055 Improved Composite Neural Learning Control for Marine  ...  Intelligent Chemical Manufacturing Industry in Shandong Province Based on Big Data Analysis Yuan Jiyang, Zhao Yanbin, Jian Gao IAI20-0212 Data Asset Management and Analytics in China High Speed Railways  ... 
doi:10.1109/iai50351.2020.9262180 fatcat:7jqkonrv7nef3d2hlstqiu2l6i

A block coordinate descent method of multipliers: Convergence analysis and applications

Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, Zhi-Quan Luo
2014 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Problems of this form arise in many modern large-scale signal processing applications including the provision of smart grid networks.  ...  We show that under certain regularity conditions, and when the order for which the block variables are either updated in a deterministic or a random fashion, the BCDMM converges to the set of optimal solutions  ...  In fact, due to its multi-block structure as well as the variable coupling in both the objective and the constraints, this problem cannot be handled by the existing methods for big data including SpaRSA  ... 
doi:10.1109/icassp.2014.6855096 dblp:conf/icassp/HongCWRML14 fatcat:vong545szfet5b4wtn3e3ygsci

When Blockchain Meets Smart Grids: A Comprehensive Survey [article]

Yihao Guo, Zhiguo Wan, Xiuzhen Cheng
2021 arXiv   pre-print
We also present thorough comparison studies among blockchain-based solutions for smart grids from different perspectives, with the aim to provide insights on integrating blockchain with smart grids for  ...  In the field of smart grids, a plethora of proposals have emerged to utilize blockchain for augmenting intelligent energy management, energy trading, security and privacy protection, microgrid management  ...  Illegal access to critical data of smart grids should be effectively prevented with access control mechanisms, which are important for data sharing in smart grids.  ... 
arXiv:2109.14130v1 fatcat:iqdtdkjvffaoxjmuotie4nuqle
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