Machine Learning Techniques for Short-Term Electric Power Demand Prediction.
Fernando MateoJuan José CarrascoMónica Millán-GiraldoAbderrahim SellamiPablo Escandell-MonteroJosé María Martínez-MartínezEmilio Soria-OlivasPublished in: ESANN (2013)
Keyphrases
- load forecasting
- electric power
- short term
- electricity markets
- long term
- motion prediction
- chaotic time series
- power generation
- power plant
- arima model
- short term prediction
- short term and long term
- medium term
- machine learning
- unit commitment
- rbf neural network
- software agents
- fuzzy logic
- artificial neural networks
- market prices
- support vector