Forecasting of the electric energy demand trend and monthly fluctuation with neural networks.
Eva González RomeraMiguel Ángel Jaramillo-MoránDiego Carmona-FernándezPublished in: Comput. Ind. Eng. (2007)
Keyphrases
- neural network
- energy supply
- rainfall forecasting
- power generation
- anchovy catches
- power supply
- electric vehicles
- solar energy
- electricity markets
- demand forecasting
- electricity consumption
- wind power
- grey model
- energy saving
- forecast models
- renewable energy
- data center
- pattern recognition
- short term
- energy consumption
- artificial neural networks
- power distribution networks
- distribution network
- genetic algorithm
- fuzzy logic
- back propagation
- energy minimization
- financial forecasting
- multilayer perceptron
- backpropagation neural networks
- soft computing
- stock market
- electrical energy
- neural network model
- fault diagnosis
- neural nets
- bp neural network
- self organizing maps
- long term
- weather forecasting
- arima model
- recurrent neural networks
- wireless sensor networks
- load forecasting
- rbf neural network
- production cost
- power system
- prediction model
- moving average
- forecasting model
- feed forward
- short term prediction
- autoregressive integrated moving average
- predictive model