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

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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Bibliographic Details
Main Authors: MD Nazmul Hossain Mir, Arindam Kishor Biswas, Md Shariful Alam Bhuiyan, Md. Golam Rabbani Abir, M. F. Mridha, Md. Jakir Hossen
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Computer Society
Subjects:
Electricity forecasting
deep learning
attention mechanism
Bayesian neural network
interval forecasting
multi-objective optimization
Online Access:https://ieeexplore.ieee.org/document/11034710/
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