A Novel Hybrid GCN-LSTM Algorithm for Energy Stock Price Prediction: Leveraging Temporal Dynamics and Inter-Stock Relationships

Energy stock price prediction is a pivotal challenge in financial forecasting, characterized by high volatility and complexity influenced by geopolitical factors, regulatory shifts, and sector-specific issues. Traditional methods often struggle to account for the intricate dependencies and temporal...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Babak Amiri, Amirali Haddadi, Kosar Farajpour Mojdehi
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2025-01-01
Цуврал:	IEEE Access
Нөхцлүүд:	Stock price energy graph neural networks long short-term memory dynamic time warping graph convolutional networks
Онлайн хандалт:	https://ieeexplore.ieee.org/document/10858154/
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!