Forecasting Price Spikes in Electricity Markets

نویسندگان

چکیده

Electricity markets are considered to be the most volatile amongst commodity markets. The non-storability of electricity and need for instantaneous balancing demand supply can often cause extreme short-lived fluctuations in prices. These termed price spikes. In this paper, we employ a multiclass Support Vector Machine (SVM) model forecast occurrence spikes German intraday market. As spikes, define prices that lie above 95th quantile estimated by fitting Generalized Pareto distribution innovation an AR-EGARCH model. generalization ability is tested out-of-the-sample dataset consisting 4080 hours. Furthermore, compare performance our best SVM against Neural Networks (NNs) Gradient Boosted Machines (GBMs).

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ژورنال

عنوان ژورنال: Review of Economic Analysis

سال: 2021

ISSN: ['1973-3909']

DOI: https://doi.org/10.15353/rea.v13i1.1822