Genetic Optimal Regression of Relevance Vector Machines for Electricity Pricing Signal Forecasting in Smart Grids.
Miltiadis AlamaniotisDimitrios T. BargiotasNikolaos G. BourbakisLefteri H. TsoukalasPublished in: IEEE Trans. Smart Grid (2015)
Keyphrases
- relevance vector machines
- short term
- electricity consumption
- support vector regression
- regression model
- optimal control
- genetic algorithm
- market clearing
- model selection
- forecast models
- electricity markets
- optimal solution
- learning machines
- gaussian processes
- electric power
- dynamic programming
- pattern recognition
- decision trees