# Lampiran B: Referensi
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 [Januschowski, Tim dan Kolassa, Stephan. A classification of business forecasting problems. Foresight: The International Journal of Applied Forecasting. 2019](https://foresight.forecasters.org/product/foresight-issue-53/) 

 [Salinas, David, Flunkert, Valentin, Gasthaus, Jan, dan Januschowski, Tim. DeepAR: Probabilistic forecasting with autoregressive recurrent networks. International Journal of Forecasting. 2019](https://arxiv.org/abs/1704.04110) 

 [Gasthaus, Jan, Benidis, Konstantinos, Wang, Yuyang, Rangapuram, Syama Sundar, Salinas, David, Flunkert, Valentin, dan Januschowski, Tim. {Probabilistic Forecasting with Spline Quantile Function RNNs. The 22nd International Conference on Artificial Intelligence and Statistics. 2019](http://proceedings.mlr.press/v89/gasthaus19a.html) 

 [Januschowski, Tim, Gasthaus, Jan, Wang, Yuyang, Salinas, David, Flunkert, Valentin, Bohlke-Schneider, Michael, dan Callot, Laurent. Criteria for classifying forecasting methods. International Journal of Forecasting. 2019](https://www.sciencedirect.com/science/article/pii/S0169207019301529) (Wajib sign-in) 

 [Januschowski, Tim, Gasthaus, Jan, Wang, Yuyang, Rangapuram, Syama, dan Callot, Laurent. Deep Learning for Forecasting. Foresight: The International Journal of Applied Forecasting. 2018](https://foresight.forecasters.org/product/foresight-issue-51/) 

 [Januschowski, Tim, Gasthaus, Jan, Wang, Yuyang, Rangapuram, Syama Sundar, dan Callot, Laurent. Deep Learning for Forecasting: Current Trends and Challenges. Foresight: The International Journal of Applied Forecasting. 2018](https://foresight.forecasters.org/product/foresight-issue-52/) 

 [Bose, Joos-Hendrik, Flunkert, Valentin, Gasthaus, Jan, Januschowski, Tim, Lange, Dustin, Salinas, David, Schelter, Sebastian, Seeger, Matthias, dan Wang, Yuyang. Probabilistic demand forecasting at scale. Proceedings of the VLDB Endowment. 2017](http://www.vldb.org/pvldb/vol10/p1694-schelter.pdf)