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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

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Xinhao Lin
Hengrong Zhang
Lei Yu
Song Pan
Tong Liu
Peng Wu
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doi 10.3389/fenrg.2024.1423126

461 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
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doi 10.3389/fenrg.2024.1408924

651 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

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Chuang Zhou
Yibo Hua
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doi 10.3389/fenrg.2024.1366859

503 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

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Zhu Liu
Jinfeng Wang
Guowei Guo
KangHeng Feng
Ximei Zhan
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doi 10.3389/fenrg.2024.1333171

740 views
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Original Research

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in Smart Grids

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doi 10.3389/fenrg.2024.1346398

606 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
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Wei Ye
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doi 10.3389/fenrg.2024.1423692

540 views

Original Research

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A causal reasoning approach for power transformer failure diagnosis

in Smart Grids

Fei Jiao
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Qikun Chen
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doi 10.3389/fenrg.2024.1340421

1,207 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
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doi 10.3389/fenrg.2024.1409647

532 views

Original Research

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

in Smart Grids

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Frontiers in Energy Research

doi 10.3389/fenrg.2024.1395621

544 views

Original Research

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in Smart Grids

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Frontiers in Energy Research

doi 10.3389/fenrg.2024.1408119

1,700 views

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

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Frontiers in Energy Research

doi 10.3389/fenrg.2024.1361809

730 views
1 citation

Original Research

Published on 10 Jun 2024

Ultra-short-term prediction of microgrid source load power considering weather characteristics and multivariate correlation

in Smart Grids

Zhenning Huang
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Frontiers in Energy Research

doi 10.3389/fenrg.2024.1409957

581 views
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Original Research

Published on 07 Jun 2024

An efficient multi-timescale regulation strategy for distribution networks based on active and passive resources combined

in Smart Grids

Kewen Li
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doi 10.3389/fenrg.2024.1381349

398 views

Original Research

Published on 31 May 2024

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in Smart Grids

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Frontiers in Energy Research

doi 10.3389/fenrg.2024.1383511

699 views
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Original Research

Published on 30 May 2024

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doi 10.3389/fenrg.2024.1341542

1,467 views

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Published on 30 May 2024

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in Smart Grids

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doi 10.3389/fenrg.2024.1389196

636 views

Navigation group

Articles

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

Ultra-short-term prediction of microgrid source load power considering weather characteristics and multivariate correlation

An efficient multi-timescale regulation strategy for distribution networks based on active and passive resources combined

Load frequency control of new energy power system based on adaptive global sliding mode control

Can the energy internet achieve carbon reduction?

Data-driven active corrective control in power systems: an interpretable deep reinforcement learning approach