A hybrid model based on CNN and Bi-LSTM for urban water demand prediction.
Piao HuJun TongJingcheng WangYue YangLuca de Oliveira TurciPublished in: CEC (2019)
Keyphrases
- prediction accuracy
- water consumption
- prediction model
- meteorological data
- cellular neural networks
- recurrent neural networks
- prediction error
- air temperature
- business intelligence
- artificial intelligence
- prediction algorithm
- urban areas
- hybrid learning
- urban planning
- relative humidity
- hidden markov models
- learning algorithm