A Novel LSTM-Based Daily Airline Demand Forecasting Method Using Vertical and Horizontal Time Series

Cong Liang
Cong Liang
Dongyang Li
Dongyang Li

PAKDD, pp. 168-173, 2018.

Cited by: 2|Bibtex|Views9|
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

In this paper, we propose a LSTM-based model to cope with airlines’ needs for daily demand forecasting. For short-term (e.g. one day in advance) forecasting, we followed the traditional horizontal time series. But for long-term (e.g. half a month in advance) forecasting, the horizontal time series is no longer capable of doing this due to...More

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