On the Modelling of the Energy System of a Country for Decision Making Using Bayesian Artificial Intelligence - A Case Study for Mexico.
Mónica BorundaAnn E. NicholsonRaul Garduño RamírezHoss SadafiPublished in: MICAI (2) (2018)
Keyphrases
- artificial intelligence
- decision making
- decision theory
- reasoning and decision making
- decision makers
- energy consumption
- united states
- decision support
- intelligent systems
- knowledge representation
- fuzzy logic
- ai methods
- decision process
- test bed
- bounded rationality
- case based reasoning
- energy minimization
- decision support system
- knowledge based systems
- expert systems
- information processing
- multi criteria
- data mining
- bayesian decision
- computer science
- supply chain
- minimum energy
- ai systems
- machine learning
- energy efficiency
- engineering design
- computational intelligence
- cognitive science
- posterior distribution
- natural language processing
- web intelligence
- data driven
- energy saving
- bayesian learning
- group decision making
- bayesian estimation
- image segmentation
- ai technologies
- case study
- data sets
- ambient intelligence