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

Volume: 250, Pages: 540 - 548
Published: Sep 1, 2019
Abstract
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...
Paper Details
Title
Ensemble of relevance vector machines and boosted trees for electricity price forecasting
Published Date
Sep 1, 2019
Volume
250
Pages
540 - 548
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