Data compression for advanced monitoring infrastructure information in power systems based on tensor decomposition-Reference-Cited by-同舟云学术

Data compression for advanced monitoring infrastructure information in power systems based on tensor decomposition

Published:2022-12 Issue: Volume:32 Page:100917
ISSN:2352-4677
Container-title:Sustainable Energy, Grids and Networks
language:en
Short-container-title:Sustainable Energy, Grids and Networks

Author:

Sandoval Guzmán Betsy,Barocio Emilio,Korba Petr^ORCID,Obushevs Artjoms^ORCID,Segundo Sevilla Felix Rafael^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Control and Systems Engineering

Reference32 articles.

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3. Smart Meter Penetration in North America Will Reach 81% By 2024;Nhede,2019

4. Big data analytics in smart grids: state-of-the-art, challenges, opportunities, and future directions;Bhattarai;IET Smart Grid,2019

5. Sparse and redundant representation-based smart meter data compression and pattern extraction;Wang;IEEE Trans. Power Syst.,2017

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1. A Robust Low-Rank Tensor Decomposition and Quantization based Compression Method;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

2. Similarity network fusion of multiview power system data;Electric Power Systems Research;2024-04

3. Investigation of the Performance of Resumable Load Data Compression Algorithm (RLDA) for Distribution Voltage and Frequency Monitoring Data;2023 3rd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET);2023-12-21

4. Application of data‐driven methods in power systems analysis and control;IET Energy Systems Integration;2023-10-26