Optimized Data-Driven Models for Short-Term Electricity Price Forecasting Based on Signal Decomposition and Clustering Techniques

In recent decades, the traditional monopolistic energy exchange market has been replaced by deregulated, competitive marketplaces in which electricity may be purchased and sold at market prices like any other commodity. As a result, the deregulation of the electricity industry has produced a demand...

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Główni autorzy:	Athanasios Ioannis Arvanitidis, Dimitrios Bargiotas, Dimitrios Kontogiannis, Athanasios Fevgas, Miltiadis Alamaniotis
Format:	Artigo
Język:	Inglês
Wydane:	MDPI AG 2022-10-01
Seria:	Energies
Hasła przedmiotowe:	short-term electricity price forecasting data-driven forecasting models metaheuristic optimization algorithms signal decomposition clustering algorithms preprocessing approaches
Dostęp online:	https://www.mdpi.com/1996-1073/15/21/7929
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