Electric load forecasting in smart grids using Long-Short-Term-Memory based Recurrent Neural Network

Author:

Jian Zheng ,Cencen Xu ,Ziang Zhang ,Xiaohua Li

Publisher

IEEE

Cited by 73 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. Load forecasting method based on CNN and extended LSTM;Energy Reports;2024-12

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3. 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

4. A DEEP LEARNING-BASED DEMAND FORECASTING SYSTEM FOR PLANNING ELECTRICITY GENERATION;Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi;2024-06-03

5. An Automated Few-Shot Learning for Time-Series Forecasting in Smart Grid Under Data Scarcity;IEEE Transactions on Artificial Intelligence;2024-06

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