Data-Driven Hybrid Model for Forecasting Wastewater Influent Loads Based on Multimodal and Ensemble Deep Learning.
SungKu HeoKiJeon NamJorge Loy-BenitezChangKyoo YooPublished in: IEEE Trans. Ind. Informatics (2021)
Keyphrases
- hybrid model
- deep learning
- data driven
- forecasting accuracy
- support vector regression
- arima model
- unsupervised learning
- artificial neural networks
- hybrid models
- machine learning
- unsupervised feature learning
- neural network
- support vector machine svm
- training set
- mental models
- short term
- training data
- learning algorithm
- semi supervised
- support vector machine
- weakly supervised
- forecasting model
- supervised learning
- long term
- genetic algorithm
- feature selection
- load forecasting
- multiscale
- bp neural network
- prediction model
- regression model
- text classification