Lars Nordström

Lars Nordström

Kungliga Tekniska högskolan

H-index: 33

Europe-Sweden

About Lars Nordström

Lars Nordström, With an exceptional h-index of 33 and a recent h-index of 21 (since 2020), a distinguished researcher at Kungliga Tekniska högskolan, specializes in the field of Power System Control, Distributed control, Smart grids.

His recent articles reflect a diverse array of research interests and contributions to the field:

Estimating unobservable machines in multi-area power systems considering model imperfections

Dynamic state estimation considering topology and observability in multi-area systems

Few-Shot Machine Learning at the Grid Edge: Data-Driven Impedance Models for Model-Free Smart Inverters

An Online Digital Twin based Health Monitoring Method for Boost Converter using Neural Network

Weather Event Preparedness Modelling for Distribution Systems

Neural network design for impedance modeling of power electronic systems based on latent features

Online Identification of Wind Farm Wide Frequency Admittance with Power Cables Using the Artificial Neural Network

Neural-Network-Based Impedance Estimation for Transmission Cables Considering Aging Effect

Lars Nordström Information

University

Position

___

Citations(all)

3520

Citations(since 2020)

1575

Cited By

2651

hIndex(all)

33

hIndex(since 2020)

21

i10Index(all)

93

i10Index(since 2020)

50

Email

University Profile Page

Kungliga Tekniska högskolan

Google Scholar

View Google Scholar Profile

Lars Nordström Skills & Research Interests

Power System Control

Distributed control

Smart grids

Top articles of Lars Nordström

Title

Journal

Author(s)

Publication Date

Estimating unobservable machines in multi-area power systems considering model imperfections

Anton Ter Vehn

Lars Nordström

2023/6/25

Dynamic state estimation considering topology and observability in multi-area systems

Anton Ter Vehn

Lars Nordström

2023/10/23

Few-Shot Machine Learning at the Grid Edge: Data-Driven Impedance Models for Model-Free Smart Inverters

Yufei Li

Yicheng Liao

Minjie Chen

Xiongfei Wang

Lars Nordstrom

...

2023/4/24

An Online Digital Twin based Health Monitoring Method for Boost Converter using Neural Network

Yizhou Lu

Mengfan Zhang

Lars Nordström

Qianwen Xu

2023/10/29

Weather Event Preparedness Modelling for Distribution Systems

Xavier Weiss

Lars Nordström

Patrik Hilber

Arvid Rolander

2023/10/23

Neural network design for impedance modeling of power electronic systems based on latent features

IEEE Transactions on Neural Networks and Learning Systems

Yicheng Liao

Yufei Li

Minjie Chen

Lars Nordström

Xiongfei Wang

...

2023/1/18

Online Identification of Wind Farm Wide Frequency Admittance with Power Cables Using the Artificial Neural Network

Li Cheng

Yang Wu

Xiongfei Wang

Minjie Chen

Yufei Li

...

2023/10/29

Neural-Network-Based Impedance Estimation for Transmission Cables Considering Aging Effect

Li Cheng

Yang Wu

Xiongfei Wang

Minjie Chen

Zichao Zhou

...

2023/10/16

Optimization of resilience-enabling technologies for market use while prioritizing resilience-as-a-service

Xavier Weiss

Lars Nordström

Arne Berlin

2023/1/1

Safe Reinforcement Learning for Mitigation of Model Errors in FACTS Setpoint Control

Magnus Tarle

Mats Larsson

Gunnar Ingeström

Lars Nordström

Mårten Björkman

2023/9/4

A Learning Testbed for False Data Injection Attacks

Filip Natvig

Göran N Ericsson

Lars Nordström

2023/10/23

High-level resilience strategizing using data-driven inputs

Xavier Weiss

Lars Nordström

Arne Berlin

2023/1/1

Safe Deep Reinforcement Learning for Power System Operation under Scheduled Unavailability

Xavier Weiss

Saeed Mohammadi

Parag Khanna

Mohammad Reza Hesamzadeh

Lars Nordström

2023/7/16

Real-Time Power System Stability Monitoring using Convolutional Neural Networks

Arvid Rolander

Xavier Weiss

Robert Eriksson

Lars Nordström

2023/10/23

Data science and energy: some lessons from Europe on higher education course design and delivery

Harvard Data Science Review

Hussain Kazmi

Íngrid Munné-Collado

Khaoula Tidriri

Lars Nordström

Frank Gielen

...

2022/1/27

Design of Neural Network for Adaptive Current Control with Different Short-Circuit Ratios

Li Cheng

Xiongfei Wang

Huoming Yang

Lars Nordström

2022/10/17

Energy Management of Smart Homes with Electric Vehicles Using Deep Reinforcement Learning

Xavier Weiss

Qianwen Xu

Lars Nordström

2022/9/5

Data-driven decentralized volt/var control for smart PV inverters in distribution systems

Yizhou Lu

Qianwen Xu

Lars Nordström

2022/9/5

Neural network models and transfer learning for impedance modeling of grid-tied inverters

Yufei Li

Yicheng Liao

Xiongfei Wang

Lars Nordström

Prateek Mittal

...

2022/6/26

Decentralized Coordination and Stabilization of Hybrid Energy Storage Systems in DC Microgrids

IEEE Transactions on Smart Grid

M Zhang

Q Xu

C Zhang

L Nordström

F Blaabjerg

2022/5

See List of Professors in Lars Nordström University(Kungliga Tekniska högskolan)

Co-Authors

H-index: 45
Joakim Widén

Joakim Widén

Uppsala Universitet

H-index: 40
Mathias Ekstedt

Mathias Ekstedt

Kungliga Tekniska högskolan

H-index: 26
Junjie Hu (胡俊杰 NCEPU, Beijing, China)

Junjie Hu (胡俊杰 NCEPU, Beijing, China)

North China Electric Power University

H-index: 23
Patrik Hilber

Patrik Hilber

Kungliga Tekniska högskolan

H-index: 9
Pia Stoll

Pia Stoll

Kungliga Tekniska högskolan

H-index: 6
Daniel A. Brodén

Daniel A. Brodén

Kungliga Tekniska högskolan

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