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Deep learning-based Day-ahead Electricity Price Forecast

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Multi-entity Wind Power Forecast Considering Privacy

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Dense skip attention based deep learning for day-ahead electricity price forecasting

Published in IEEE Transactions on Power Systems, 2022

Yuanzheng Li,Yizhou Ding, Yun Liu, Tao Yang, Ping Wang, Jingfei Wang, Wei Yao

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A Demand-Supply Cooperative Responding Strategy in Power System with High Renewable Energy Penetration

Published in IEEE Transactions on Control System Technology, 2023

Yuanzheng Li, Xinxin Long, Yang Li, Yizhou Ding, Tao Yang, Zhigang Zeng

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Privacy-Preserving Multi-entity Wind Power Forecasting: A Federated Learning Approach

Published in , 2023

Yuanzheng Li, Yizhou Ding, Shangyang He, Yang Li, Chi-yung Chung, Zhigang Zeng

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Topology Identification of Distribution Networks Based on Physics-Informed Latent Graph Attention Network

Published in 2023 3rd International Joint Conference on Energy, Electrical and Power Engineering (COEEPE), 2023

Zhou, Y., Liang, H., Zou, X., Ding, Y.*

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Power Network Smart Meter Data Driven Cross-Task Transfer Learning for Resident Characteristics Estimation

Published in IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 2023

Zhang, H., Wang, Z., Liu, X., Zhou, W., Ding, Y., Li, Y.

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Artificial intelligence-based methods for renewable power system operation

Published in Nature Review Electrical Engineering, 2024

Yuanzheng Li, Yizhou Ding, Shangyang He, Fei Hu, Juntao Duan, Guanghui Wen, Hua Geng, Zhengguang Wu, Hoay Beng Gooi†, Yong Zhao, Chenghui Zhang, Shengwei Mei, and Zhigang Zeng,

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Comming Soon

Published: March 01, 2023

Comming Soon

Comming Soon

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.