A hybrid model to forecast greenhouse gas emissions in Latin America.
Joaquin CaneoJavier ScaviaMarcel C. MinutoloWerner KristjanpollerPublished in: Soft Comput. (2023)
Keyphrases
- hybrid model
- latin america
- greenhouse gas emissions
- forecasting accuracy
- arima model
- energy consumption
- developing countries
- artificial neural networks
- support vector regression
- hybrid models
- short term
- autoregressive conditional heteroscedasticity
- forecasting model
- support vector machine svm
- back propagation neural network
- neural network
- wireless sensor networks
- computer vision
- distance learning
- information and communication technologies
- back propagation
- sensor networks
- support vector machine
- training set
- data streams
- genetic algorithm