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A new linguistic out-sample approach of fuzzy time series for daily forecasting of Malaysian electricity load demand.
Riswan Efendi
Zuhaimy Ismail
Mustafa Mat Deris
Published in:
Appl. Soft Comput. (2015)
Keyphrases
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forecasting accuracy
demand forecasting
load forecasting
short term
exponential smoothing
forecasting model
electric power
support vector regression
hybrid model
power system
long term
linguistic rules
electricity markets
rbf neural network
bp neural network
neural network model
electricity consumption
historical data
membership functions
fuzzy sets
linguistic variables
fuzzy clustering
fuzzy logic
stock market
power generation
chaotic time series
weather forecasting
natural language processing
fuzzy rule based systems
fuzzy numbers
supply chain
natural language
arima model
information granules
financial time series
non stationary
fuzzy rules
renewable energy
forecast models