Author:
Li Lejie,Zhang Lu,Sun Bin,Dong Benjie,Xu Kaining
Publisher
Springer Nature Switzerland
Reference17 articles.
1. Sun, B., Geng, R., Zhang, L., Li, S., Shen, T., Ma, L.: Securing 6G-enabled IoT/IoV networks by machine learning and data fusion. EURASIP J. Wirel. Commun. Netw. 2022 (2022)
2. Sun, B., Geng, R., Yuan, X., Shen, T.: Prediction of emergency mobility under diverse IoT availability. EAI Endorsed Trans. Pervasive Health Technol. 8(4), e2 (2022)
3. de Alencar, D.B., et al.: Different models for forecasting wind power generation: case study. Energies 10(12), 2017 (1976)
4. Hanifi, S., Liu, X., Lin, Z., Lotfian, S.: A critical review of wind power forecasting methods-past, present and future. Energies 13(15), 3764 (2020)
5. Alhussein, M., Aurangzeb, K., Haider, S.I.: Hybrid CNN-LSTM model for short-term individual household load forecasting. IEEE Access 8, 180544–180557 (2020)