A Survey on Time Series Forecasting
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1145-5_2
Reference12 articles.
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3. Eljazzar, M.M., Hemayed, E.E.: Enhancing electric load forecasting of ARIMA and ANN using adaptive fourier series. In: IEEE 7th Annual Computing and Communication Workshop and Conference, pp. 1–6 (2017)
4. Labouar, A., Slama, J.B.H.: Hour-ahead wind power forecast based on random forests. Renew. Energy 109, 529–541 (2017)
5. Hu, Q., Zhang, S., Xie, Z., et al.: Noise model based v-support vector regression with its application to short-term wind speed forecasting. Neural Netw. 57, 1–11 (2014)
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