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Guoqiang Sun

Guoqiang Sun

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
6115
World Ranking
6656
National Ranking
1240

Overview

Guoqiang Sun is affiliated with Hohai University in China and has contributed extensively to the field of engineering, with a primary focus on electrical and electronic engineering. Their research encompasses subfields such as control and systems engineering, artificial intelligence, renewable energy, sustainability and the environment, and mechanical engineering.

The main topics of Guoqiang Sun's work include:

  • Smart Grid Energy Management
  • Energy Load and Power Forecasting
  • Solar Radiation and Photovoltaics
  • Integrated Energy Systems Optimization
  • Optimal Power Flow Distribution
  • Electric Power System Optimization
  • Electric Vehicles and Infrastructure

Sun has published extensively in various scientific journals and conferences. The most frequent publication venues include:

  • SSRN Electronic Journal
  • IEEE Transactions on Sustainable Energy
  • Renewable Energy
  • IEEE Transactions on Power Systems
  • International Journal of Electrical Power & Energy Systems

Some of the recent papers authored or coauthored by Guoqiang Sun are:

  • Short-term global horizontal irradiance forecasting based on a hybrid CNN-LSTM model with spatiotemporal correlations, 2020, Renewable Energy
  • Residential load forecasting based on LSTM fusing self-attention mechanism with pooling, 2021, Energy
  • A Transformer-based multimodal-learning framework using sky images for ultra-short-term solar irradiance forecasting, 2023, Applied Energy
  • Multi-Meteorological-Factor-Based Graph Modeling for Photovoltaic Power Forecasting, 2021, IEEE Transactions on Sustainable Energy
  • Resilience-oriented planning of integrated electricity and heat systems: A stochastic distributionally robust optimization approach, 2023, Applied Energy

Guoqiang Sun collaborates frequently with several researchers. The most common coauthors are:

  • Zhinong Wei
  • Haixiang Zang
  • Sheng Chen
  • Lilin Cheng
  • Yizhou Zhou

Best Publications

  • Short-term global horizontal irradiance forecasting based on a hybrid CNN-LSTM model with spatiotemporal correlations

    Haixiang Zang;Ling Liu;Li Sun;Lilin Cheng

  • Day-ahead photovoltaic power forecasting approach based on deep convolutional neural networks and meta learning

    Haixiang Zang;Lilin Cheng;Tao Ding;Kwok W. Cheung

  • Hybrid method for short-term photovoltaic power forecasting based on deep convolutional neural network

    Haixiang Zang;Lilin Cheng;Tao Ding;Kwok W. Cheung

  • Direct-Current Predictive Control Strategy for Inhibiting Commutation Failure in HVDC Converter

    Zhinong Wei;Yang Yuan;Xiao Lei;Huawei Wang

  • Residential load forecasting based on LSTM fusing self-attention mechanism with pooling

    Haixiang Zang;Ruiqi Xu;Lilin Cheng;Tao Ding

  • A robust optimization approach for integrated community energy system in energy and ancillary service markets

    Yizhou Zhou;Zhinong Wei;Guoqiang Sun;Kwok W. Cheung

  • Multi-Linear Probabilistic Energy Flow Analysis of Integrated Electrical and Natural-Gas Systems

    Sheng Chen;Zhinong Wei;Guoqiang Sun;Kwok W. Cheung

  • Optimal Power and Semi-Dynamic Traffic Flow in Urban Electrified Transportation Networks

    Si Lv;Zhinong Wei;Guoqiang Sun;Sheng Chen

  • A Transformer-based multimodal-learning framework using sky images for ultra-short-term solar irradiance forecasting

    Unknown

  • A Carbon Price Forecasting Model Based on Variational Mode Decomposition and Spiking Neural Networks

    Guoqiang Sun;Tong Chen;Zhinong Wei;Yonghui Sun

  • Distributionally Robust Unit Commitment in Coordinated Electricity and District Heating Networks

    Yizhou Zhou;Mohammad Shahidehpour;Zhinong Wei;Zhiyi Li

  • Application of functional deep belief network for estimating daily global solar radiation: A case study in China

    Haixiang Zang;Lilin Cheng;Tao Ding;Kwok W. Cheung

  • A FAST PARTICLE SWARM OPTIMIZATION

    Zhihua Cui;Jianchao Zeng;Guoji Sun

  • Convex Hull Based Robust Security Region for Electricity-Gas Integrated Energy Systems

    Sheng Chen;Zhinong Wei;Guoqiang Sun;Wei Wei

  • Adaptive Robust Day-Ahead Dispatch for Urban Energy Systems

    Sheng Chen;Zhinong Wei;Guoqiang Sun;Kwok W. Cheung

  • Resilience-oriented planning of integrated electricity and heat systems: A stochastic distributionally robust optimization approach

    Unknown

  • Multi-period integrated natural gas and electric power system probabilistic optimal power flow incorporating power-to-gas units

    Guoqiang Sun;Shuang Chen;Zhinong Wei;Sheng Chen

  • Robust H U+221E load frequency control of multi-area power system with time delay: a sliding mode control approach

    Yonghui Sun;Yingxuan Wang;Zhinong Wei;Guoqiang Sun

  • Multi-Meteorological-Factor-Based Graph Modeling for Photovoltaic Power Forecasting

    Lilin Cheng;Haixiang Zang;Tao Ding;Zhinong Wei

  • Ensemble Recurrent Neural Network Based Probabilistic Wind Speed Forecasting Approach

    Lilin Cheng;Haixiang Zang;Tao Ding;Rong Sun

  • Distributionally Robust Co-Optimization of Energy and Reserve for Combined Distribution Networks of Power and District Heating

    Yizhou Zhou;Mohammad Shahidehpour;Zhinong Wei;Zhiyi Li

  • Short term Solar Photovoltaic Power Prediction Learning Directly from Satellite Images with Regions of Interest

    Lilin Cheng;Haixiang Zang;Zhinong Wei;Tao Ding

  • Optimal Tilt Angle and Orientation of Photovoltaic Modules Using HS Algorithm in Different Climates of China

    Mian Guo;Haixiang Zang;Shengyu Gao;Tingji Chen

  • Robust H∞ load frequency control of delayed multi-area power system with stochastic disturbances

    Yonghui Sun;Ning Li;Xuemao Zhao;Zhinong Wei

  • Identifying Optimal Energy Flow Solvability in Electricity-Gas Integrated Energy Systems

    Sheng Chen;Zhinong Wei;Guoqiang Sun;Kwok W. Cheung

Frequent Co-Authors

Zhinong Wei
Zhinong Wei Hohai University
Tao Ding
Tao Ding Xi'an Jiaotong University
Mohammad Shahidehpour
Mohammad Shahidehpour Illinois Institute of Technology
Junbo Zhao
Junbo Zhao University of Connecticut
Yan Xu
Yan Xu Nanyang Technological University
Zhiyi Li
Zhiyi Li Zhejiang University
Ferdinanda Ponci
Ferdinanda Ponci RWTH Aachen University
Jinde Cao
Jinde Cao Southeast University
Ping Ju
Ping Ju Hohai University
Rabih A. Jabr
Rabih A. Jabr American University of Beirut

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