A Novel LSTM-Based Daily Airline Demand Forecasting Method Using Vertical and Horizontal Time Series
PAKDD, pp. 168-173, 2018.
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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