Ensemble of relevance vector machines and boosted trees for electricity price forecasting

Real-time prediction of electricity pricing signals is essential for scheduling load demand in price-directed grids. In a deregulated electricity market, this helps substantially increase the gains of utility companies and minimize the electricity cost to the consumers. This paper introduces a novel model for electricity locational marginal price forecasting primarily centered on relevance vector machine. Two different versions of relevance...