Short-Term Electricity Demand Forecasting for DanceSport Activities

This paper introduces a novel hybrid deep learning-based approach for short-term electricity demand forecasting in dance sport activities. Traditional deep learning methods often overlook important spatial dependencies and key features like trend and seasonal patterns. To address these limitations,...

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Hlavní autoři:	Keyin Liu, Hao Li, Song Yang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2024-01-01
Edice:	IEEE Access
Témata:	Short-term demand forecasting graph neural networks DanceSport hybrid fusion
On-line přístup:	https://ieeexplore.ieee.org/document/10587225/
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