A hybrid model for Forecasting Biological Oxygen Demand using CEEMDAN-LSTM.
Neha PantDurga ToshniwalBhola Ram GurjarPublished in: GeoSocial@SIGSPATIAL (2023)
Keyphrases
- hybrid model
- forecasting accuracy
- demand forecasting
- support vector regression
- arima model
- artificial neural networks
- hybrid models
- recurrent neural networks
- back propagation neural network
- biological systems
- high temperature
- support vector machine svm
- short term
- neural network
- regression model
- biological data
- support vector
- electricity markets
- forecasting model
- feature selection
- genetic algorithm