Short-Term Residential Load Forecasting Based on Smart Meter Data Using Temporal Convolutional Networks-Reference-Cited by-同舟云学术

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Short-Term Residential Load Forecasting Based on Smart Meter Data Using Temporal Convolutional Networks

Published:2020-07 Issue: Volume: Page:
ISSN:
Container-title:2020 39th Chinese Control Conference (CCC)
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Author:

Peng Qing,Liu Zhi-Wei

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9181388/9188342/09188453.pdf?arnumber=9188453

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Re-pseudonymization Strategies for Smart Meter Data Are Not Robust to Deep Learning Profiling Attacks;Proceedings of the Fourteenth ACM Conference on Data and Application Security and Privacy;2024-06-19

2. LoadNet: enhancing energy storage system integration in power system operation using temporal convolutional and recurrent models with self-attention;Frontiers in Energy Research;2024-06-18

3. Integrated Approaches in Resilient Hierarchical Load Forecasting via TCN and Optimal Valley Filling Based Demand Response Application;Applied Energy;2024-04

4. A comprehensive review on deep learning approaches for short-term load forecasting;Renewable and Sustainable Energy Reviews;2024-01

5. Short-term load forecasting using spatial-temporal embedding graph neural network;Electric Power Systems Research;2023-12

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