Gaussian Process Prior Models for Electrical Load Forecasting
Leith, Douglas J. and Heidl, Martin and Ringwood, John V. (2004) Gaussian Process Prior Models for Electrical Load Forecasting. Probabilistic Methods Applied to Power Systems . pp. 112-117. AbstractThis paper examines models based on Gaussian Process (GP) priors for electrical load forecasting. This methodology is seen to encompass a number of popular forecasting methods, such as Basic Structural Models (BSMs) and Seasonal Auto-Regressive Intergrated (SARI) as special cases. The GP forecasting models are shown to have some desirable properties and their performance is examined on weekly and
yearly Irish load data. Repository Staff Only: item control page
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