Currently Historical Mean method predicts the flow at a certain time slot according to the historical mean value of a specific number of nearest previous time slots.
ARIMA is a simple and widely used time series prediction model.
Reference Paper:
Reference Package: pandas
, statsmodels
Hidden Markov Model is a statistical Markov model in which the system being modeled is assumed to be a Markov process with hidden states. It is often used in temporal pattern recognition.
Reference Paper:
Reference Package: hmmlearn
XGBoost is a gradient boosting machine learning algorithm widely used in flow prediction and other machine learning prediction areas.
Reference Paper:
Reference Package: xgboost
AMulti-GCLSTM (Attention-Fused Multi-Graph Convolutional LSTM Networks) is our prediction model, which requires extra graph information as input, and combines Graph Convolution LSTM and Attention mechanism.
tensorflow