Smart grid architecture model for control, optimization and data analytics of future power networks with more renewable energy

DK Panda, S Das - Journal of Cleaner Production, 2021 - Elsevier
This paper describes a generic methodology to develop mathematical and computational
models of different components of the smart grid architecture model (SGAM). The SGAM …

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 …

The compression of electric signal waveforms for smart grids: State of the art and future trends

MP Tcheou, L Lovisolo, MV Ribeiro… - … on Smart Grid, 2013 - ieeexplore.ieee.org
In this paper, we discuss the compression of waveforms obtained from measurements of
power system quantities and analyze the reasons why its importance is growing with the …

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 …

Fourier, wavelet, and Hilbert-Huang transforms for studying electrical users in the time and frequency domain

V Puliafito, S Vergura, M Carpentieri - Energies, 2017 - mdpi.com
The analysis of electrical signals is a pressing requirement for the optimal design of power
distribution. In this context, this paper illustrates how to use a variety of numerical tools, such …

Model-free lossless data compression for real-time low-latency transmission in smart grids

L Yan, J Han, R Xu, Z Li - IEEE Transactions on Smart Grid, 2020 - ieeexplore.ieee.org
This article proposes a model-free lossless data compression method for time series in
smart grids (SGs), namely, Lossless Coding considering Precision (LCP) method. The LCP …

Gaussian approximation-based lossless compression of smart meter readings

A Abuadbba, I Khalil, X Yu - IEEE Transactions on Smart Grid, 2017 - ieeexplore.ieee.org
Automation metering services, load forecasting, and energy feedback are among the great
benefits of smart meters. These meters are usually connected using Narrowband power line …

Optimal singular value decomposition based big data compression approach in smart grids

N Hashemipour, J Aghaei… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The smart grid is a fully automatic delivery grid for electricity power with a two-way reliable
flow of electricity and information among different equipment on the grid. Smart meters and …

Spectral shape estimation in data compression for smart grid monitoring

J Cormane, FAO Nascimento - IEEE Transactions on smart grid, 2015 - ieeexplore.ieee.org
This paper proposes a transform-based compression algorithm for waveforms associated
with power quality and transient phenomena in power systems. This method uses the …

Smart meter data compression using generalized deduplication

M Fehér, N Yazdani, MT Hansen… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Utility providers are relying more often on smart, wirelessly connected smart meters to collect
consumption information of their customers. The sheer amount of connected smart meters …