Author:
Shobana Devi A.,Maragatham G.,Boopathi K.,Lavanya M. C.,Saranya R.
Reference26 articles.
1. Yatiyana E, Rajakaruna S, Ghosh A (2018) Wind speed and direction forecasting for wind power generation using ARIMA model. In: 2017 Australasian Universities power engineering conference (AUPEC 2017), pp 1–6, Nov 2017.
https://doi.org/10.1109/aupec.2017.8282494
2. Ambach D, Vetter P (2016) Wind speed and power forecasting—a review and incorporating asymmetric loss. In: Proceedings of 2nd international symposium on stochastic models in reliability engineering, life science, and operations management (SMRLO 2016), pp 115–123.
https://doi.org/10.1109/SMRLO.2016.29
3. Radziukynas V, Klementavicius A (2014) Short-term wind speed forecasting with ARIMA model. In: 2014 55th international scientific conference on power and electrical engineering of Riga Technical University (RTUCON). IEEE, pp 145–149
4. Verma SM, Reddy V, Verma K, Kumar R (2018) Markov models based short term forecasting of wind speed for estimating day-ahead wind power. In: 2018 international conference on power, energy, control and transmission systems (ICPECTS). IEEE, pp 31–35
5. Palomares-Salas JC, De La Rosa JJG, Ramiro JG, Melgar J, Aguera A, Moreno A (2009) ARIMA vs. neural networks for wind speed forecasting. In: 2009 IEEE international conference on computational intelligence for measurement systems and applications. IEEE, pp 129–133
Cited by
5 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