Open Access
Issue |
E3S Web Conf.
Volume 528, 2024
2024 3rd International Symposium on New Energy Technology Innovation and Low Carbon Development (NET-LC 2024)
|
|
---|---|---|
Article Number | 02006 | |
Number of page(s) | 5 | |
Section | Smart Grid and Hydropower Resources Development | |
DOI | https://doi.org/10.1051/e3sconf/202452802006 | |
Published online | 28 May 2024 |
- Huang W.L., Yang M., and He D.K. (2023) Research on Reducing Packaging Steam Consumption in Breweries. J. Sino-foreign Liquor Industry, 03: 18–24. [Google Scholar]
- Mughees N., Mohsin S. A, Mughees A., and Mughees A. (2021) Deep sequence to sequence Bi-LSTM neural networks for day-ahead peak load forecasting. J. Expert Systems with Applications, 175. [Google Scholar]
- Shahid F., Zameer A., Mehmood A., and Raja M. A. Z (2020) A novel wavenets long short term memory paradigm for wind power prediction. J. Applied Energy, 269. [Google Scholar]
- Lu Y.K., Sheng B.Y., Zhang Z.H., and Zhang Y.Q. (2021) Workshop Energy Consumption Prediction Method Based on Time Series Decomposition and CNN. J. Computer Applications & Software, 38(06): 339–344. [Google Scholar]
- Liu Z.L., Guo J.H., Li W., Jia H.T., and Chen Z. (2024) Short-term prediction of CSP output based on FCM-LSTM. J. Chinese Journal of Engineering, 46(01): 178–186. [Google Scholar]
- Li M., Zong X.J., Lian L., He K., and Yang Z.J. (2023) Data Analysis and Application of Thermal Power Plant Based on CNN-ABC-BiGRU. J. Electronic Design Engineering, 31(22): 11–15, 20. [Google Scholar]
- Mohammadpour L.L., Ling T.C., Liew C.S., and Aryanfar A. (2022) A Survey of CNN-Based Network Intrusion Detection. J. APPLIED SCI-ENCES- BASEL, 12(16): 8162–8162. [Google Scholar]
- Liang, B.S., Wang S.Y., Huang Y.Q., Liu Y.L., and Ma L.P. (2023) F-LSTM: FPGA-Based Hetero-geneous Computing Framework for Deploying LSTM-Based Algorithms. J. ELECTRON-ICS, 12(5): 1139–1113. [Google Scholar]
- Li Y. and Wang L.P. (2022) Human Activity Recognition Based on Residual Network and BiLSTM. J. SENSOR-S, 22(2): 635. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.