Forecasting of Meteorological Weather Time Series Through a Feature Vector Based on Correlation

Author:

Ramos Mery Milagros PacoORCID,Del Alamo Cristian LópezORCID,Zapana Reynaldo AlfonteORCID

Publisher

Springer International Publishing

Reference25 articles.

1. Adhikari, R., Agrawal, R.K.: An introductory study on time series modeling and forecasting (2013). https://doi.org/10.13140/2.1.2771.8084

2. Alavi, S.E., Sinaei, H., Afsharirad, E.: Predict the trend of stock prices using machine learning techniques. Int. Acad. J. Econ. 2(12), 1–11 (2015)

3. Aminikhanghahi, S., Cook, D.J.: A survey of methods for time series change point detection. Knowl. Inf. Syst. 51, 1–29 (2016). https://doi.org/10.1007/s10115-016-0987-z

4. Bengio, Y., Courville, A.C., Vincent, P.: Unsupervised feature learning and deep learning: a review and new perspectives. CoRR, abs/1206.5538 1 (2012)

5. Boose, E.: Fisher meteorological station (since 2001). Harvard Forest Data Archive: HF001 (2001). https://doi.org/10.6073/pasta/04076dfd30b286c6c29301b6345a63f5

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