ABMF-Net: An Attentive Bayesian Multi-Stage Deep Learning Model for Robust Forecasting of Electricity Price and Demand

This article presents a novel deep learning model, the Attentive Bayesian Multi-Stage Forecasting Network (ABMF-Net), designed for robust forecasting of electricity price (USD/MWh) and demand (MW). The model incorporates an attention-based data selection mechanism, an encoder-decoder structure with...

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Bibliografische Detailangaben

Hauptverfasser:	MD Nazmul Hossain Mir, Arindam Kishor Biswas, Md Shariful Alam Bhuiyan, Md. Golam Rabbani Abir, M. F. Mridha, Md. Jakir Hossen
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2025-01-01
Schriftenreihe:	IEEE Open Journal of the Computer Society
Schlagworte:	Electricity forecasting deep learning attention mechanism Bayesian neural network interval forecasting multi-objective optimization
Online-Zugang:	https://ieeexplore.ieee.org/document/11034710/
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