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Attention mechanism based solar and load joint forecasting framework with Bayesian optimization

delete2026-06-19
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PRE
AI
D
Deepesh Kumar *
H
Hemant Kumar Meena
P
Prerna Jain
DOI:10.1016/j.compeleceng.2026.111327delete
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Abstract

Abstract

En 中文
• Analyzed cross/auto-correlation in solar-load data to reveal temporal links. • Proposed Bi-LSTM with attention for joint solar and load forecasting. • Used Bayesian optimization to tune hyperparameters for better accuracy. • Achieved higher prediction accuracy than benchmark forecasting models. • Enables improved energy management in renewable-integrated grids.

Journal

C
Computers and Electrical Engineering
IF:
4.9
Papers:
6.7K
Citations:
1.3W

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