Mingyang Sun

About Mingyang Sun

Mingyang Sun, With an exceptional h-index of 25 and a recent h-index of 23 (since 2020), a distinguished researcher at Zhejiang University, specializes in the field of AI in Low Carbon Energy Systems.

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

Vulnerability of Machine Learning Approaches Applied in IoT-Based Smart Grid: A Review

Convex Hull Based Economic Operating Region for Power Grids Considering Uncertainties of Renewable Energy Sources

Enhancing Cyber-Resiliency of DER-based SmartGrid: A Survey

A Novel Sequence-to-Sequence-Based Deep Learning Model for Multistep Load Forecasting

Hierarchical multi-agent reinforcement learning for repair crews dispatch control towards multi-energy microgrid resilience

A machine learning approach for generating and evaluating forecasts on the environmental impact of the buildings sector

Towards Scalable and Efficient Hierarchical Deep Reinforcement Learning for 5G RAN Slicing

Co-optimizing bidding and power allocation of an ev aggregator providing real-time frequency regulation service

Mingyang Sun Information

University

Position

Imperial College London

Citations(all)

2612

Citations(since 2020)

2532

Cited By

736

hIndex(all)

25

hIndex(since 2020)

23

i10Index(all)

41

i10Index(since 2020)

41

Email

University Profile Page

Google Scholar

Mingyang Sun Skills & Research Interests

AI in Low Carbon Energy Systems

Top articles of Mingyang Sun

Title

Journal

Author(s)

Publication Date

Vulnerability of Machine Learning Approaches Applied in IoT-Based Smart Grid: A Review

Zhenyong Zhang

Mengxiang Liu

Mingyang Sun

Ruilong Deng

Peng Cheng

...

2024/1/3

Convex Hull Based Economic Operating Region for Power Grids Considering Uncertainties of Renewable Energy Sources

Journal of Modern Power Systems and Clean Energy

Huating Xu

Bin Feng

Gang Huang

Mingyang Sun

Houbo Xiong

...

2024/3/20

Enhancing Cyber-Resiliency of DER-based SmartGrid: A Survey

IEEE Transactions on Smart Grid

Mengxiang Liu

Zhenyong Zhang

Pudong Ge

Ruilong Deng

Mingyang Sun

...

2024/2

A Novel Sequence-to-Sequence-Based Deep Learning Model for Multistep Load Forecasting

IEEE Transactions on Neural Networks and Learning Systems

Renzhi Lu

Ruichang Bai

Ruidong Li

Lijun Zhu

Mingyang Sun

...

2024/1/19

Hierarchical multi-agent reinforcement learning for repair crews dispatch control towards multi-energy microgrid resilience

Neural Computing and Applications

Jingyu Cao

Lu Dong

Xin Yuan

Yuanda Wang

Changyin Sun

2023/10/10

A machine learning approach for generating and evaluating forecasts on the environmental impact of the buildings sector

Energies

Spyros Giannelos

Alexandre Moreira

Dimitrios Papadaskalopoulos

Stefan Borozan

Danny Pudjianto

...

2023/3/22

Towards Scalable and Efficient Hierarchical Deep Reinforcement Learning for 5G RAN Slicing

IEEE Transactions on Green Communications and Networking

Renlang Huang

Miao Guo

Chaojie Gu

Shibo He

Jiming Chen

...

2023/7/13

Co-optimizing bidding and power allocation of an ev aggregator providing real-time frequency regulation service

IEEE Transactions on Smart Grid

Ruike Lyu

Hongye Guo

Kedi Zheng

Mingyang Sun

Qixin Chen

2023/3/6

Inherent Spatiotemporal Uncertainty of Renewable Power in China

Nature Communications

Jianxiao Wang

Liudong Chen

Zhenfei Tan

Er Shun Du

Nian Liu

...

2023/7

Cybersecurity Analysis of Data-Driven Power System Stability Assessment

IEEE Internet of Things Journal

Zhenyong Zhang

Ke Zuo

Ruilong Deng

Fei Teng

Mingyang Sun*

2023/4/11

Adaptive Decision-Objective Loss for Forecast-then-Optimize in Power Systems

arXiv preprint arXiv:2312.13501

Haipeng Zhang

Ran Li

Mingyang Sun

Teng Fei

2023/12/21

Graph learning-based voltage regulation in distribution networks with multi-microgrids

IEEE Transactions on Power Systems

Yi Wang

Dawei Qiu

Yu Wang

Mingyang Sun

Goran Strbac

2023/2/6

Collaborative extraction of inter-variable coupling relationships and dynamics for prediction of silicon content in blast furnaces

IEEE Transactions on Instrumentation and Measurement

Liyuan Kong

Chunjie Yang

Siwei Lou

Yu Cai

Xiaoke Huang

...

2023/5/19

PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information

Quan Yuan

Zhikun Zhang

Linkang Du

Min Chen

Peng Cheng

...

2023/4/5

ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning

arXiv preprint arXiv:2309.03081

Linkang Du

Min Chen

Mingyang Sun

Shouling Ji

Peng Cheng

...

2023/9/6

Privacy-preserving and Hierarchically Federated Framework for Short-Term Residential Load Forecasting

IEEE Transactions on Smart Grid

Yu He

Fengji Luo

Mingyang Sun

Gianluca Ranzi

2023/5/10

Highly Transferable Adversarial Attack Against Deep-Reinforcement-Learning-Based Frequency Control

IET Energy Conversion and Economics

Zhongwei Li

Yang Liu

Peng Qiu

Hongyan Yin

Xu Wan

...

2023/4

Exact Box-Constrained Economic Operating Region for Power Grids Considering Renewable Energy Sources

Journal of Modern Power Systems and Clean Energy

Huating Xu

Bin Feng

Chutong Wang

Chuangxin Guo

Jian Qiu

...

2023/9/1

FLLF: A Fast-Lightweight Location Detection Framework for False Data Injection Attacks in Smart Grids

IEEE Transactions on Smart Grid

Jianxin Zhu

Wenchao Meng

Mingyang Sun

Jun Yang

Zhuo Song

2023/5/9

Secure energy management of multi-energy microgrid: a physical-informed safe reinforcement learning approach

Applied Energy

Yi Wang

Dawei Qiu

Mingyang Sun

Goran Strbac

Zhiwei Gao

2023/4

See List of Professors in Mingyang Sun University(Zhejiang University)

Co-Authors

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