Smart grid architecture model for control, optimization and data analytics of future power networks with more renewable energy
This paper describes a generic methodology to develop mathematical and computational
models of different components of the smart grid architecture model (SGAM). The SGAM …
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 …
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
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 …
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 …
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 …
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
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 …
smart grids (SGs), namely, Lossless Coding considering Precision (LCP) method. The LCP …
Gaussian approximation-based lossless compression of smart meter readings
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 …
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 …
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 …
with power quality and transient phenomena in power systems. This method uses the …
Smart meter data compression using generalized deduplication
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 …
consumption information of their customers. The sheer amount of connected smart meters …