Gaoqi Liang

About Gaoqi Liang

Gaoqi Liang, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at Nanyang Technological University, specializes in the field of Smart grid, smart home, electricity market, and their cyber physical security, machine learning and.

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

Privacy-Preserving Bi-Level Optimization of Internet Data Centers for Electricity-Carbon Collaborative Demand Response

Applying Large Language Models to Power Systems: Potential Security Threats

Framework of Resilient Transmission Network Reconfiguration Considering Cyber-Attacks

Risk-Sensitive Mobile Battery Energy Storage System Control With Deep Reinforcement Learning and Hybrid Risk Estimation Method

LFLLM: A Large Language Model for Load Forecasting

Coordinated restoration of inverter‐based power sources and synchronous generators for the high renewable penetrated power system considering the dynamic frequency regulation …

An improved carbon emission flow method for the power grid with prosumers

Adapting to climate change: Long-term impact of wind resource changes on China's power system resilience

Gaoqi Liang Information

University

Position

School of Electrical and Electronic Engineering

Citations(all)

3678

Citations(since 2020)

3373

Cited By

1474

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

20

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Gaoqi Liang Skills & Research Interests

Smart grid

smart home

electricity market

and their cyber physical security

machine learning and

Top articles of Gaoqi Liang

Privacy-Preserving Bi-Level Optimization of Internet Data Centers for Electricity-Carbon Collaborative Demand Response

IEEE Internet of Things Journal

2024/4/22

Applying Large Language Models to Power Systems: Potential Security Threats

IEEE Transactions on Smart Grid

2024/3/7

Framework of Resilient Transmission Network Reconfiguration Considering Cyber-Attacks

arXiv preprint arXiv:2401.16446

2024/1/28

Chao Yang
Chao Yang

H-Index: 9

Gaoqi Liang
Gaoqi Liang

H-Index: 11

Risk-Sensitive Mobile Battery Energy Storage System Control With Deep Reinforcement Learning and Hybrid Risk Estimation Method

IEEE Transactions on Smart Grid

2024/1/26

LFLLM: A Large Language Model for Load Forecasting

Authorea Preprints

2024/1/8

Coordinated restoration of inverter‐based power sources and synchronous generators for the high renewable penetrated power system considering the dynamic frequency regulation …

IET Renewable Power Generation

2024

An improved carbon emission flow method for the power grid with prosumers

Energy Reports

2023/12/1

Adapting to climate change: Long-term impact of wind resource changes on China's power system resilience

arXiv preprint arXiv:2311.16572

2023/11/28

A non-intrusive carbon emission accounting method for industrial corporations from the perspective of modern power systems

Applied Energy

2023/11/15

Fast and explainable warm-start point learning for AC Optimal Power Flow using decision tree

International Journal of Electrical Power & Energy Systems

2023/11/1

Assessment of spatiotemporally coordinated cyberattacks on renewable energy forecasting in smart energy system

Applied Energy

2023/10/1

On vulnerability of renewable energy forecasting: Adversarial learning attacks

IEEE Transactions on Industrial Informatics

2023/9/19

Gaoqi Liang
Gaoqi Liang

H-Index: 11

EWELD: A Large-Scale Industrial and Commercial Load Dataset in Extreme Weather Events

Scientific Data

2023/9/11

Deep learning for cybersecurity in smart grids: Review and perspectives

2023/8

Graph deep learning-based retail dynamic pricing for demand response

IEEE Transactions on Smart Grid

2023/3/17

Super-resolution perception assisted spatiotemporal graph deep learning against false data injection attacks in smart grid

IEEE Transactions on Smart Grid

2023/2/1

Planning and operation of integrated energy systems with deep integration of pervasive industrial internet-of-things

Frontiers in Energy Research

2023/1/11

Ensemble-based deep reinforcement learning for robust cooperative wind farm control

International Journal of Electrical Power & Energy Systems

2022/12/1

A Generalized Data Recovery Model against False Data Injection Attack in Smart Grid

2022/11/11

See List of Professors in Gaoqi Liang University(Nanyang Technological University)