Load forecasting is at the core of nearly all decisions made in energy markets. The electricity load demand is influenced by numerous factors - ranging from weather conditions over seasonal effects to socio-economic influences. In this paper, we present first computational results using a linear approach supported by support vector machines for robust regression.
Electric Load Forecasting Using Support Vector Machines for Robust Regression
DE LEONE, Renato;
2013-01-01
Abstract
Load forecasting is at the core of nearly all decisions made in energy markets. The electricity load demand is influenced by numerous factors - ranging from weather conditions over seasonal effects to socio-economic influences. In this paper, we present first computational results using a linear approach supported by support vector machines for robust regression.File in questo prodotto:
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