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Rethink AI-based Power Grid Control: Diving Into Algorithm Design

Dec 23, 2020
Xiren Zhou, Siqi Wang, Ruisheng Diao, Desong Bian, Jiahui Duan, Di Shi

* Accepted by 34th NeurIPS Ml4eng Workshop, 2020 

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Two-stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach

Nov 08, 2019
Xinan Wang, Yishen Wang, Di Shi, Jianhui Wang, Zhiwei Wang

* Submitted to IEEE Transactions on Smart Grid 

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Autonomous Voltage Control for Grid Operation Using Deep Reinforcement Learning

Apr 24, 2019
Ruisheng Diao, Zhiwei Wang, Di Shi, Qianyun Chang, Jiajun Duan, Xiaohu Zhang

* To be published (Accepted) in: Proceedings of the Power and Energy Society General Meeting (PESGM), Atlanta, GA, 2019 

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Probabilistic Load Forecasting via Point Forecast Feature Integration

Mar 26, 2019
Qicheng Chang, Yishen Wang, Xiao Lu, Di Shi, Haifeng Li, Jiajun Duan, Zhiwei Wang

* To appear in ISGT ASIA 2019 

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Short-term Load Forecasting at Different Aggregation Levels with Predictability Analysis

Mar 26, 2019
Yayu Peng, Yishen Wang, Xiao Lu, Haifeng Li, Di Shi, Zhiwei Wang, Jie Li

* To appear in ISGT ASIA 2019 

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Submodular Load Clustering with Robust Principal Component Analysis

Feb 20, 2019
Yishen Wang, Xiao Lu, Yiran Xu, Di Shi, Zhehan Yi, Jiajun Duan, Zhiwei Wang

* Accepted by 2019 IEEE PES General Meeting, Atlanta, GA 

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A Rprop-Neural-Network-Based PV Maximum Power Point Tracking Algorithm with Short-Circuit Current Limitation

Dec 06, 2018
Yao Cui, Zhehan Yi, Jiajun Duan, Di Shi, Zhiwei Wang

* 2019 IEEE ISGT NA 

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A Neuron-Network-Based Optimal Control of Ultra-Capacitors with System Uncertainties

Nov 29, 2018
Jiajun Duan, Zhehan Yi, Di Shi, Hao Xu, Zhiwei Wang

* IEEE ISGT NA 2019 

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