Electricity Demand Forecasting Using Computational Intelligence and High Performance Computing.
Rodrigo PorteiroSergio NesmachnowPublished in: CARLA (2020)
Keyphrases
- demand forecasting
- high performance computing
- computational intelligence
- scientific computing
- historical data
- massively parallel
- computational science
- intelligent systems
- grid computing
- supply chain
- computing systems
- computing resources
- parallel computing
- fault tolerance
- artificial intelligence
- machine learning
- artificial neural networks
- fuzzy logic
- computing environments
- energy efficiency
- forecasting accuracy
- databases
- fault tolerant
- power system
- expert systems
- database
- energy consumption
- peer to peer
- support vector machine
- metadata
- neural network