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A multi-energy load forecasting method based on parallel architecture CNN-GRU and transfer learning for data deficient integrated energy systems
Research article (Energy, 2022) · cited 173× · AI/ML
A multi-energy load forecasting method based on parallel architecture CNN-GRU and transfer learning for data deficient integrated energy systems
Summary
A multi-energy load forecasting method based on parallel architecture CNN-GRU and transfer learning for data deficient integrated energy systems is a scholarly article[1].
Key Facts
A multi-energy load forecasting method based on parallel architecture CNN-GRU and transfer learning for data deficient integrated energy systems's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A multi-energy load forecasting method based on parallel architecture CNN-GRU and transfer learning for data deficient integrated energy systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-multi-energy-load-forecasting-method-based-on-parallel-architecture-cnn-gru-and-transfer-learning-for-data-deficient-i
MLA“A multi-energy load forecasting method based on parallel architecture CNN-GRU and transfer learning for data deficient integrated energy systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-multi-energy-load-forecasting-method-based-on-parallel-architecture-cnn-gru-and-transfer-learning-for-data-deficient-i.
BibTeX@misc{4ortxyz_a-multi-energy-load-forecasting-method-based-on-parallel-architecture-cnn-gru-and-transfer-learning-for-data-deficient-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A multi-energy load forecasting method based on parallel architecture CNN-GRU and transfer learning for data deficient integrated energy systems}}, year = {2026}, url = {https://4ort.xyz/entity/a-multi-energy-load-forecasting-method-based-on-parallel-architecture-cnn-gru-and-transfer-learning-for-data-deficient-i}, note = {Accessed: 2026-05-24}}
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