Dr. Yi Wu Profile

Dr. Yi Wu

at Shanghai Municipal Electric Power Company

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Author

Publications (5)

Proceedings Article | 18 November 2024 Paper

Data-driven power load forecasting with neural attention mechanism

Jun Yan, Ning Ma, Jixuan Huang, Yi Wu, Siyu Liao, Peng Zhu, Dawei Cheng

Proceedings Volume 13403, 134033G (2024) https://doi.org/10.1117/12.3051636

KEYWORDS: Data modeling, Fourier transforms, Autoregressive models, Power grids, Transformers, Neural networks, Convolution, Matrices, Systems modeling, Performance modeling

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Proceedings Article | 19 July 2024 Paper

A privacy calculation method for smart grid power data based on NB IoT

Yi Wu, Naiwang Guo, Tangyu Xu, Qian Li

Proceedings Volume 13181, 131815V (2024) https://doi.org/10.1117/12.3031418

KEYWORDS: Data privacy, Data transmission, Power grids, Network architectures, Data communications, Internet of things, Data storage, Education and training, Power consumption, Telecommunications

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Proceedings Article | 25 April 2023 Paper

Mining residential power consumption behaviour based on association rules

Fan Li, Yingjie Tian, Yi Wu, Yingying Zhao, Yun Su

Proceedings Volume 12598, 1259836 (2023) https://doi.org/10.1117/12.2672873

KEYWORDS: Power consumption, Mining, Factor analysis, Relative humidity, Pollution, Expectation maximization algorithms, Analytical research, Transmission electron microscopy, Statistical modeling, Statistical analysis

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Proceedings Article | 6 May 2022 Paper

Power consumption behavior analysis and load forecasting of smart grid

Yi Wu, Fan Li, Zhufu Shen, Yanan Wang, Yingjie Tian

Proceedings Volume 12256, 122560E (2022) https://doi.org/10.1117/12.2635360

KEYWORDS: Data modeling, Reliability, Performance modeling, Statistical analysis, Distance measurement

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Proceedings Article | 4 May 2022 Paper

Electric vehicle charging load forecasting based on federal learning

Yi Wu, Zhufu Shen, Yingjie Tian, Zhenfei Cai, Fan Li

Proceedings Volume 12172, 1217210 (2022) https://doi.org/10.1117/12.2634646

KEYWORDS: Data modeling, Data processing, Wind energy, Performance modeling, Convolutional neural networks, Atmospheric modeling, Neural networks, Convolution

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