Frontiers in Energy Research

Methods

Published on 26 Jun 2024

A dynamic reconfiguration model and method for load balancing in the snow-shaped distribution network

in Smart Grids

Fengzhang Luo
Xuan Wu
Zhe Wang
Jiali Duan

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1361559

609 views
1 citation

Correction

Published on 26 Jun 2024

Corrigendum: A data-driven ensemble technique for the detection of false data injection attacks in the smart grid framework

in Smart Grids

Tania Gupta
Richa Bhatia
Sachin Sharma
Ch. Rami Reddy
Kareem M. AboRas
Wael Mobarak

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1433901

360 views

Original Research

Published on 26 Jun 2024

Voltage control strategy of a high-permeability photovoltaic distribution network based on cluster division

in Smart Grids

He Li
Kun Song
Fanyu Meng
Zhenhao Wang
Chaobin Wang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1377841

524 views

Original Research

Published on 24 Jun 2024

Edge–end collaborative secure and rapid response method for multi-flow aggregated energy dispatch service in a distribution grid

in Smart Grids

Zhan Shi

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1414516

400 views

Original Research

Published on 21 Jun 2024

Digital twin technology for enhanced smart grid performance: integrating sustainability, security, and efficiency

in Smart Grids

Riad Alharbey
Aqib Shafiq
Ali Daud
Hussain Dawood
Amal Bukhari
Bader Alshemaimri

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1397748

1,940 views
3 citations

Original Research

Published on 21 Jun 2024

Operation optimization considering multiple uncertainties for the multi-energy system of data center parks based on information gap decision theory

in Smart Grids

Zhuoyue Wang
Xinhao Lin
Hengrong Zhang
Lei Yu
Song Pan
Tong Liu
Peng Wu
Tianqi Wang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1423126

552 views

Original Research

Published on 20 Jun 2024

Study on the optimum value of remanent magnetism for suppressing ferromagnetic resonance of voltage transformer in all-cable line

in Smart Grids

Huang Yonghao
Dan Shuheng
Liu Zhiyuan

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1408924

820 views

Original Research

Published on 19 Jun 2024

Research on distribution–microgrid-coupled network demand response based on a multi-time scale

in Smart Grids

Xianglong Zhang
Chuang Zhou
Yibo Hua
Shufeng Dong

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1366859

562 views

Original Research

Published on 19 Jun 2024

Research on the minimum network loss optimization control strategy of the active distribution network based on the distributed power flow controller

in Smart Grids

Zhu Liu
Jinfeng Wang
Guowei Guo
KangHeng Feng
Ximei Zhan
Fadong Peng
Dehuang Gong
Aihong Tang
Ma Lulu
Caili Xiang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1333171

829 views
2 citations

Original Research

Published on 18 Jun 2024

LoadNet: enhancing energy storage system integration in power system operation using temporal convolutional and recurrent models with self-attention

in Smart Grids

Minggang Liu
Xiaoxu Hu

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1346398

785 views

Original Research

Published on 17 Jun 2024

A short-term electricity load forecasting method integrating empirical modal decomposition with SAM-LSTM

in Smart Grids

Yafangzi Zhou
Zhiyin Su
Kun Gao
Zhengwen Wang
Wei Ye
Jinhui Zeng

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1423692

649 views

Original Research

Published on 14 Jun 2024

A causal reasoning approach for power transformer failure diagnosis

in Smart Grids

Fei Jiao
Zhenyuan Ma
Qikun Chen
Fengda Zhang
Dezong Zhao

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1340421

1,436 views

Original Research

Published on 14 Jun 2024

A physical virtual multi-graph convolutional coordinated prediction method for spatio-temporal electricity loads integrating multi-dimensional information

in Smart Grids

Wengang Chen
Xinrui Wang
Yuze Ji
Yujuan Zhang
Jianfei Zhu
Weitian Ma

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1409647

611 views

Original Research

Published on 13 Jun 2024

Intelligent substation virtual circuit verification method combining knowledge graph and deep learning

in Smart Grids

Haiou Cao
Yue Zhang
Yaming Ge
Jiaoxiao Shen
Changfeng Tang
Xuchao Ren
Hengxiang Chen

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1395621

661 views

Original Research

Published on 12 Jun 2024

Evaluation of electrical load demand forecasting using various machine learning algorithms

in Smart Grids

Akanksha Jain
S. C. Gupta

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1408119

2,459 views
2 citations

Original Research

Published on 11 Jun 2024

Optimal demand response scheduling and voltage reinforcement in distribution grids incorporating uncertainties of energy resources, placement of energy storages, and aggregated flexible loads

in Smart Grids

Alireza Zarei
Navid Ghaffarzadeh
Farhad Shahnia

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1361809

847 views
2 citations

Navigation group

Articles

A dynamic reconfiguration model and method for load balancing in the snow-shaped distribution network

Corrigendum: A data-driven ensemble technique for the detection of false data injection attacks in the smart grid framework

Voltage control strategy of a high-permeability photovoltaic distribution network based on cluster division

Edge–end collaborative secure and rapid response method for multi-flow aggregated energy dispatch service in a distribution grid

Digital twin technology for enhanced smart grid performance: integrating sustainability, security, and efficiency

Operation optimization considering multiple uncertainties for the multi-energy system of data center parks based on information gap decision theory

Study on the optimum value of remanent magnetism for suppressing ferromagnetic resonance of voltage transformer in all-cable line

Research on distribution–microgrid-coupled network demand response based on a multi-time scale

Research on the minimum network loss optimization control strategy of the active distribution network based on the distributed power flow controller

LoadNet: enhancing energy storage system integration in power system operation using temporal convolutional and recurrent models with self-attention

A short-term electricity load forecasting method integrating empirical modal decomposition with SAM-LSTM

A causal reasoning approach for power transformer failure diagnosis

A physical virtual multi-graph convolutional coordinated prediction method for spatio-temporal electricity loads integrating multi-dimensional information

Intelligent substation virtual circuit verification method combining knowledge graph and deep learning

Evaluation of electrical load demand forecasting using various machine learning algorithms

Optimal demand response scheduling and voltage reinforcement in distribution grids incorporating uncertainties of energy resources, placement of energy storages, and aggregated flexible loads