改进型 3D LSTM:长序列负荷预测的视频预测方法

IF 8.6 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Jiang-Wen Xiao, Xue-Ying Cui, Xiao-Kang Liu, Hongliang Fang, Peng-Cheng Li
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Improved 3D LSTM: A Video Prediction Approach to Long Sequence Load Forecasting
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来源期刊
IEEE Transactions on Smart Grid
IEEE Transactions on Smart Grid ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
22.10
自引率
9.40%
发文量
526
审稿时长
6 months
期刊介绍: The IEEE Transactions on Smart Grid is a multidisciplinary journal that focuses on research and development in the field of smart grid technology. It covers various aspects of the smart grid, including energy networks, prosumers (consumers who also produce energy), electric transportation, distributed energy resources, and communications. The journal also addresses the integration of microgrids and active distribution networks with transmission systems. It publishes original research on smart grid theories and principles, including technologies and systems for demand response, Advance Metering Infrastructure, cyber-physical systems, multi-energy systems, transactive energy, data analytics, and electric vehicle integration. Additionally, the journal considers surveys of existing work on the smart grid that propose new perspectives on the history and future of intelligent and active grids.
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