A new linguistic out-sample approach of fuzzy time series for daily forecasting of Malaysian electricity load demand.
Riswan EfendiZuhaimy IsmailMustafa Mat DerisPublished in: Appl. Soft Comput. (2015)
Keyphrases
- 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