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A short‐term load forecasting method based on GRU‐CNN hybrid neural network model

L Wu, C Kong, X Hao, W Chen - Mathematical problems in …, 2020 - Wiley Online Library
Short‐term load forecasting (STLF) plays a very important role in improving the economy
and stability of the power system operation. With the smart meters and smart sensors widely …
被引用次数：178 相关文章

A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model

L Wu, C Kong, X Hao, W Chen - 2020 - ir.lut.edu.cn
摘要Short-term load forecasting (STLF) plays a very important role in improving the economy
and stability of the power system operation. With the smart meters and smart sensors widely …
[PDF] semanticscholar.org

[PDF][PDF] A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model

L Wu, C Kong, X Hao, W Chen - 2020 - pdfs.semanticscholar.org
Short-term load forecasting (STLF) plays a very important role in improving the economy and
stability of the power system operation. With the smart meters and smart sensors widely …

A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model.

L Wu, C Kong, X Hao, W Chen - Mathematical Problems in …, 2020 - go.gale.com
Due to the difficulty of large-scale storage of electrical energy and electrical energy changes
in power demand, it is required that the system power generation should be dynamically …

A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model.

L Wu, C Kong, X Hao, W Chen - Mathematical Problems in …, 2020 - search.ebscohost.com
Short-term load forecasting (STLF) plays a very important role in improving the economy and
stability of the power system operation. With the smart meters and smart sensors widely …

A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model

L Wu, C Kong, X Hao, W Chen - Mathematical Problems in …, 2020 - econpapers.repec.org
Short-term load forecasting (STLF) plays a very important role in improving the economy and
stability of the power system operation. With the smart meters and smart sensors widely …

A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model

L Wu, C Kong, X Hao, W Chen - Mathematical Problems in …, 2020 - ideas.repec.org
Short-term load forecasting (STLF) plays a very important role in improving the economy and
stability of the power system operation. With the smart meters and smart sensors widely …

A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model

L Wu, C Kong, X Hao, W Chen - Mathematical Problems in …, 2020 - search.proquest.com
Short-term load forecasting (STLF) plays a very important role in improving the economy and
stability of the power system operation. With the smart meters and smart sensors widely …

[引用][C] A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model

L Wu, C Kong, X Hao, W Chen - Mathematical Problems in …, 2020 - Hindawi Limited

[引用][C] A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model

L Wu, C Kong, X Hao, W Chen - 2020