Very-short term forecasting of electricity price signals using a Pareto composition of kernel machines in smart power systems.
Miltiadis AlamaniotisNikolaos G. BourbakisLefteri H. TsoukalasPublished in: GlobalSIP (2015)
Keyphrases
- kernel machines
- load forecasting
- short term
- power system
- short term load forecasting
- smart grid
- power generation
- long term
- wind power
- support vector
- power grid
- semi supervised
- kernel function
- cyber security
- electric power systems
- forecasting model
- multiple kernel learning
- stock market
- computational intelligence
- multi objective
- genetic algorithm
- unit commitment
- power grids
- wind speed
- model selection
- special case
- medium term