Author:
Ma T.,Barajas-Solano David A.,Huang R.,Tartakovsky Alexandre M.
Reference47 articles.
1. Amjady, N., Short-TermHourly Load Forecasting Using Time-Series Modelingwith Peak Load Estimation Capability, IEEE Transact. Power Sys., vol. 16, no. 3, pp. 498-505, 2001.
2. Bianchi, F.M., Maiorino, E., Kampffmeyer, M.C., Rizzi, A., and Jenssen, R., Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis, Berlin, Germany: Springer, 2017.
3. Boroojeni, K.G., Amini,M.H., Bahrami, S., Iyengar, S., Sarwat, A.I., and Karabasoglu, O., A Novel Multi-Time-Scale Modeling for Electric Power Demand Forecasting: From Short-TermtoMedium-Term Horizon, Electric Power Sys. Res., vol. 142, pp. 58-73, 2017.
4. Boroojeni, K.G., Mokhtari, S., Amini, M.H., and Iyengar, S., Optimal Two-Tier Forecasting Power Generation Model in Smart Grids, Int. J. Inform. Proc., vol. 8, no. 4, pp. 79-88, 2014.
5. Brockwell, P.J. and Davis, R.A., Introduction to Time Series and Forecasting, Berlin, Germany: Springer, 2016.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献