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In recent decades, the traditional monopolistic energy exchange market has been replaced by deregulated, competitive marketplaces in which electricity may be purchased and sold at market prices like any other commodity.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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Автори:	Athanasios Ioannis Arvanitidis, Dimitrios Bargiotas, Dimitrios Kontogiannis, Athanasios Fevgas, Miltiadis Alamaniotis
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2022-10-01
Серія:	Energies
Предмети:	short-term electricity price forecasting data-driven forecasting models metaheuristic optimization algorithms signal decomposition clustering algorithms preprocessing approaches
Онлайн доступ:	https://www.mdpi.com/1996-1073/15/21/7929
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Optimized Data-Driven Models for Short-Term Electricity Price Forecasting Based on Signal Decomposition and Clustering Techniques

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