Daily multivariate forecasting of water demand in a touristic island with the use of artificial neural network and adaptive neuro-fuzzy inference system.
Dimitris KofinasElpiniki PapageorgiouChrysi S. LaspidouNikolaos MelliosKonstantinos KokkinosPublished in: CySWATER@CPSWeek (2016)
Keyphrases
- artificial neural networks
- demand forecasting
- forecasting accuracy
- water resources
- meteorological data
- neural network model
- neural network
- anfis model
- short term
- predictive model
- hybrid model
- backpropagation neural networks
- electricity markets
- supply chain
- bp neural network
- neuro fuzzy
- feed forward artificial neural networks
- lead time
- back propagation
- support vector regression
- experimental data
- recurrent neural networks
- water supply
- fuzzy inference system
- genetic algorithm
- medium term
- control charts
- financial time series
- electricity consumption
- exponential smoothing
- weather forecasting
- market participants
- multivariate data
- input variables
- feed forward
- backpropagation neural network
- radial basis function
- stock market
- water quality