Flexible electricity price forecasting by switching mother wavelets based on wavelet transform and Long Short-Term Memory

Under dynamic pricing, stable and accurate electricity price forecasting on the demand side is essential for efficient energy management. We have developed a new electricity price forecasting model that provides consistently accurate forecasts. The base prediction model decomposes the time series us...

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Bibliografiske detaljer

Principais autores:	Koki Iwabuchi, Kenshiro Kato, Daichi Watari, Ittetsu Taniguchi, Francky Catthoor, Elham Shirazi, Takao Onoye
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2022-11-01
Serier:	Energy and AI
Fag:	Dynamic pricing Electricity price forecast Wavelet transform Long Short-Term Memory neural network
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2666546822000404
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