Leith, Douglas J. and Heidl, Martin and Ringwood, John
Gaussian Process Prior Models for Electrical
Probabilistic Methods Applied to Power Systems.
This 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.
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