Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems.
Yuanxuan YangAlison J. HeppenstallAndy TurnerAlexis J. ComberPublished in: Comput. Environ. Urban Syst. (2020)
Keyphrases
- short term
- structural information
- long term
- motion prediction
- load forecasting
- short term and long term
- arima model
- stock market
- topological information
- chaotic time series
- structural similarity
- long term memory
- forecasting model
- short and long term
- domain knowledge
- short term prediction
- medium term
- machine learning
- low level
- learning algorithm