Search Results - "WANG SHOUXIANG" :: K.UTB vyhledávací portál

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A novel deep learning method for the classification of power quality disturbances using deep convolutional neural network

by Wang, Shouxiang, Chen, Haiwen
Published in Applied energy (01.02.2019)

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Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting

by Wang, Shouxiang, Wang, Xuan, Wang, Shaomin, Wang, Dan
Published in International journal of electrical power & energy systems (01.07.2019)

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A Fully-Decentralized Consensus-Based ADMM Approach for DC-OPF With Demand Response

by Wang, Yamin, Wu, Lei, Wang, Shouxiang
Published in IEEE transactions on smart grid (01.11.2017)

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A multi-energy load prediction model based on deep multi-task learning and ensemble approach for regional integrated energy systems

by Xuan, Wang, Shouxiang, Wang, Qianyu, Zhao, Shaomin, Wang, Liwei, Fu
Published in International journal of electrical power & energy systems (01.03.2021)

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Uncertainty Tracing of Distributed Generations via Complex Affine Arithmetic Based Unbalanced Three-Phase Power Flow

by Wang, Shouxiang, Han, Liang, Wu, Lei
Published in IEEE transactions on power systems (01.11.2015)

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New Metrics for Assessing the Reliability and Economics of Microgrids in Distribution System

by Shouxiang Wang, Zhixin Li, Lei Wu, Shahidehpour, Mohammad, Zuyi Li
Published in IEEE transactions on power systems (01.08.2013)

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A Fast Sensitivity Method for Determining Line Loss and Node Voltages in Active Distribution Network

by Wang, Shouxiang, Liu, Qi, Ji, Xingquan
Published in IEEE transactions on power systems (01.01.2018)

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Day-ahead aggregated load forecasting based on two-terminal sparse coding and deep neural network fusion

by Chen, Haiwen, Wang, Shouxiang, Wang, Shaomin, Li, Ye
Published in Electric power systems research (01.12.2019)

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A Novel Method of Statistical Line Loss Estimation for Distribution Feeders Based on Feeder Cluster and Modified XGBoost

by Wang, Shouxiang, Dong, Pengfei, Tian, Yingjie
Published in Energies (Basel) (01.12.2017)

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Reliability-oriented distribution network reconfiguration considering uncertainties of data by interval analysis

by Zhang, Peng, Li, Wenyuan, Wang, Shouxiang
Published in International journal of electrical power & energy systems (2012)

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Interval power flow calculation algorithm for multi‐terminal dc distribution networks considering distributed generation output uncertainties

by Liu, Qi, Wang, Shouxiang, Zhao, Qianyu, Wang, Kai
Published in IET generation, transmission & distribution (01.03.2021)

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Modeling Daily Load Profiles of Distribution Network for Scenario Generation Using Flow-Based Generative Network

by Ge, Leijiao, Liao, Wenlong, Wang, Shouxiang, Bak-Jensen, Birgitte, Pillai, Jayakrishnan Radhakrishna
Published in IEEE access (2020)

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Consumer-Centric Spatiotemporal Reliability Assessment and Compensation Model with Sensitive Component Analysis in Smart Grid

by Wang, Shouxiang, Liu, Liyang, Wu, Lei, Zhao, Ge
Published in IEEE transactions on power systems (01.03.2018)

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A Load Identification Method Based on Active Deep Learning and Discrete Wavelet Transform

by Guo, Luyang, Wang, Shouxiang, Chen, Haiwen, Shi, Qingyuan
Published in IEEE access (2020)

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Automatic generation control based on multiple-step greedy attribute and multiple-level allocation strategy

by Lei Xi, Le Zhang, Yanchun Xu, Shouxiang Wang, Chao Yang
Published in CSEE Journal of Power and Energy Systems (01.01.2022)

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Sequential Reconfiguration of Unbalanced Distribution Network with Soft Open Points Based on Deep Reinforcement Learning

by Ziyang Yin, Shouxiang Wang, Qianyu Zhao
Published in Journal of modern power systems and clean energy (01.01.2023)

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Bi-level Multi-objective Joint Planning of Distribution Networks Considering Uncertainties

by Shouxiang Wang, Yichao Dong, Qianyu Zhao, Xu Zhang
Published in Journal of modern power systems and clean energy (01.11.2022)

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Ultra-short-term Interval Prediction of Wind Power Based on Graph Neural Network and Improved Bootstrap Technique

by Wenlong Liao, Shouxiang Wang, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Zhe Yang, Kuangpu Liu
Published in Journal of modern power systems and clean energy (01.07.2023)

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