Electricity Price Forecasting via Statistical and Deep Learning Approaches: The German Case

نویسندگان

چکیده

Our research involves analyzing the latest models used for electricity price forecasting, which include both traditional inferential statistical methods and newer deep learning techniques. Through our analysis of historical data use multiple weekday dummies, we have proposed an innovative solution forecasting spot prices. This breaking down series into two components: a seasonal trend component stochastic component. By utilizing this approach, are able to provide highly accurate predictions all considered time frames.

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ژورنال

عنوان ژورنال: AppliedMath

سال: 2023

ISSN: ['2673-9909']

DOI: https://doi.org/10.3390/appliedmath3020018