A Novel Dual-Stream Attention-Based Hybrid Network for Solar Power Forecasting

A Novel Dual-Stream Attention-Based Hybrid Network for Solar Power Forecasting

Photovoltaic (PV) power forecasting is essential for providing accurate data on future power production, ensuring secure power grid operations, and reducing solar energy operation expenses. This research introduces a novel dual-steam hybrid model that uses Bidirectional Long-Short Term Memory (BiLST...

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Bibliographic Details
Main Authors: Rafiq Asghar, Michele Quercio, Lorenzo Sabino, Assia Mahrouch, Francesco Riganti Fulginei
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Solar energy
PV power forecasting
deep learning
BiLSTM-CNN
multi-head attention
weather conditions
Online Access:https://ieeexplore.ieee.org/document/10945336/
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https://ieeexplore.ieee.org/document/10945336/

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