Original Research

Published on 04 Nov 2024

A multi-task learning based line parameter identification method for medium-voltage distribution network

in Smart Grids

Xuebao Jiang
Chenbin Zhou
Qi Pan
Liang Wang
Bowen Wu
Yang Xu
Kang Chen
Liudi Fu

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1485369

416 views

Original Research

Published on 31 Oct 2024

Research on urban power load forecasting based on improved LSTM

in Smart Grids

Zhou Zhenglei
Chen Jun
Yang Zhou
Wu Wenguang
Ding Hong

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1443814

317 views

Original Research

Published on 31 Oct 2024

A non-intrusive fine-grained load identification method based on three-dimensional voltage–current trajectories

in Smart Grids

Haihong Bian
Zhiyuan Zhang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1479995

291 views

Original Research

Published on 29 Oct 2024

Robust optimization bidding strategy for user-side resource-side participation in the market distribution of electrical energy and peaking ancillary services considering risk expectations and opportunity constraints

in Smart Grids

Jiao Wang
Jinyan Hu
Zhichao Bai
Hao He
Mingxin Tang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1469739

192 views

Original Research

Published on 24 Oct 2024

Lithium-ion battery SOH estimation method based on multi-feature and CNN-KAN

in Smart Grids

Zhao Zhang
Xin Liu
Runrun Zhang
Xu Ming Liu
Shi Chen
Zhexuan Sun
Heng Jiang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1494473

803 views

Original Research

Published on 24 Oct 2024

A method of determining the carbon emission reduction contribution of regional distribution networks based on spherical fuzzy sets

in Smart Grids

Puliang Du
Miaoheng Yang
Wei Hu
Pengfei Wang
Qiang Xing

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1486359

288 views

Review

Published on 23 Oct 2024

Integration of blockchain with artificial intelligence technologies in the energy sector: a systematic review

in Smart Grids

Al Mothana Al Shareef
Serap Seçkiner
Bilal Eid
Hasan Abumeteir

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1377950

2,367 views

Original Research

Accepted on 22 Oct 2024

Multi-Task Learning Load Time Series Situational Prediction Based on Gated Recurrent Neural Networks Considering Spatial Correlations

in Smart Grids

Mei Huang
Qian Ai

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1476613

Original Research

Published on 22 Oct 2024

Application of intelligent self-organizing algorithms in UAV cooperative inspection of power distribution networks

in Smart Grids

Zeyu Sun
Jiacheng Liao

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1418907

469 views

Original Research

Published on 22 Oct 2024

Dynamic state awareness for distribution network based on robust adaptive cubature kalman filter

in Smart Grids

Ruihai Dai
Yanzhen Wan
Deqiang Lian
Liguo Weng
Xiao Tang
Jianfei Wang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1477597

346 views

Original Research

Published on 22 Oct 2024

The design of a model predictive control strategy and performance analysis for pumped storage units and super capacitors in power systems

in Smart Grids

Wang Zhidong
Han Xiaonan
Wang Ying

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1425169

252 views

Original Research

Published on 18 Oct 2024

A comparative study of different deep learning methods for time-series probabilistic residential load power forecasting

in Smart Grids

Liangcai Zhou
Yi Zhou
Linlin Liu
Xiaoying Zhao

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1490152

320 views

Original Research

Published on 17 Oct 2024

Two-stage transient stability assessment using ensemble learning and cost sensitivity

in Smart Grids

Aoyu Lei
Yong Mei
Dexin Ma
Zining Liu
Wenwei Tao
Fangneng Huang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1491846

297 views

Original Research

Published on 16 Oct 2024

Research on optimal configuration of mobile energy storage in distribution networks considering various energy utilization efficiencies

in Smart Grids

Dong Fu
Bin Li
Liangzhi Yin
Xuebin Sun
Hong Cui

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1388681

431 views

Original Research

Published on 16 Oct 2024

A study of short-term wind power segmentation forecasting method considering weather on ramp segments

in Smart Grids

Chunxiang Yang
Guodong Wu
Yongrui Zhang
Guangqing Bao
Jianhui Wang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1474969

388 views

Original Research

Published on 15 Oct 2024

Three-stage resilience enhancement via optimal dispatch and reconfiguration for a microgrid

in Smart Grids

Yi-Syuan Wu
Jian-Tang Liao
Hong-Tzer Yang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1461383

392 views

Navigation group

Articles

A multi-task learning based line parameter identification method for medium-voltage distribution network

Research on urban power load forecasting based on improved LSTM

A non-intrusive fine-grained load identification method based on three-dimensional voltage–current trajectories

Robust optimization bidding strategy for user-side resource-side participation in the market distribution of electrical energy and peaking ancillary services considering risk expectations and opportunity constraints

Lithium-ion battery SOH estimation method based on multi-feature and CNN-KAN

A method of determining the carbon emission reduction contribution of regional distribution networks based on spherical fuzzy sets

Integration of blockchain with artificial intelligence technologies in the energy sector: a systematic review

Multi-Task Learning Load Time Series Situational Prediction Based on Gated Recurrent Neural Networks Considering Spatial Correlations

Application of intelligent self-organizing algorithms in UAV cooperative inspection of power distribution networks

Dynamic state awareness for distribution network based on robust adaptive cubature kalman filter

The design of a model predictive control strategy and performance analysis for pumped storage units and super capacitors in power systems

A comparative study of different deep learning methods for time-series probabilistic residential load power forecasting

Two-stage transient stability assessment using ensemble learning and cost sensitivity

Research on optimal configuration of mobile energy storage in distribution networks considering various energy utilization efficiencies

A study of short-term wind power segmentation forecasting method considering weather on ramp segments

Three-stage resilience enhancement via optimal dispatch and reconfiguration for a microgrid