Compression of smart meter big data: A survey

L Wen, K Zhou, S Yang, L Li - Renewable and Sustainable Energy …, 2018 - Elsevier
In recent years, the smart grid has attracted wide attention from around the world. Large
scale data are collected by sensors and measurement devices in a smart grid. Smart meters …

Green sensing and communication: A step towards sustainable IoT systems

V Gupta, S Tripathi, S De - Journal of the Indian Institute of Science, 2020 - Springer
With the advent of Internet of Things (IoT) devices, their reconfigurability, networking, task
automation, and control ability have been a boost to the evolution of traditional industries …

Data compression in smart distribution systems via singular value decomposition

JCS de Souza, TML Assis… - IEEE transactions on smart …, 2015 - ieeexplore.ieee.org
Electrical distribution systems have been experiencing many changes in recent times.
Advances in metering system infrastructure and the deployment of a large number of smart …

Sparse and redundant representation-based smart meter data compression and pattern extraction

Y Wang, Q Chen, C Kang, Q **a… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Smart meters play vital roles in the aspects of the management and operation of smart grids
such as demand response, energy efficiency improvement, and electricity pricing. Massive …

Adaptive multivariate data compression in smart metering Internet of Things

MR Chowdhury, S Tripathi, S De - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Recent advances in electric metering infrastructure have given rise to the generation of
gigantic chunks of data. Transmission of all of these data certainly poses a significant …

Resumable load data compression in smart grids

A Unterweger, D Engel - IEEE Transactions on Smart Grid, 2014 - ieeexplore.ieee.org
We propose a compression approach for load profile data, which addresses practical
requirements of smart metering. By providing linear time complexity with respect to the input …

A time-series compression technique and its application to the smart grid

F Eichinger, P Efros, S Karnouskos, K Böhm - The VLDB Journal, 2015 - Springer
Time-series data is increasingly collected in many domains. One example is the smart
electricity infrastructure, which generates huge volumes of such data from sources such as …

Electricity consumption data sets: Pitfalls and opportunities

C Klemenjak, A Reinhardt, L Pereira… - Proceedings of the 6th …, 2019 - dl.acm.org
Real-world data sets are crucial to develop and test signal processing and machine learning
algorithms to solve energy-related problems. Their scope and data resolution is, however …

[HTML][HTML] Electric load data compression and classification based on deep stacked auto-encoders

X Huang, T Hu, C Ye, G Xu, X Wang, L Chen - Energies, 2019 - mdpi.com
With the development of advanced metering infrastructure (AMI), electrical data are collected
frequently by smart meters. Consequently, the load data volume and length increase …

A unified approach for compression and authentication of smart meter reading in AMI

Y Lee, E Hwang, J Choi - IEEE access, 2019 - ieeexplore.ieee.org
In this paper, we propose a unified approach for compression and authentication of smart
meter reading in advanced metering infrastructure (AMI). In general, smart meters are urged …