FORECASTING SPOT ELECTRICITY PRICES WITH TIME SERIES MODELS

Abstract

In this paper we study simple time series models and assess their forecasting performance. In particular we calibrate ARMA and AR-MAX (where the exogenous variable is the system load) processes. Models are tested on a time series of California power market system prices and loads from the period proceeding and including the market crash. 1.