CNN-BiLSTM Hybrid Model Optimized by Sparrow Search Algorithm for Photovoltaic Power Prediction

Against the backdrop of accelerating global energy transition, photovoltaic (PV) power generation technology has emerged as a core pathway to alleviate energy supply-demand imbalances and address climate change, owing to its high efficiency and low carbon emissions. However, PV output power is subje...

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Veröffentlicht in:	2025 IEEE 3rd International Conference on Image Processing and Computer Applications (ICIPCA) S. 1493 - 1498
1. Verfasser:	Zhang, Boyuan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 28.06.2025
Schlagworte:	Adaptation models bidirectional long short-term memory convolutional neural network Convolutional neural networks hyperparameter optimization Meteorology Optimization Photovoltaic systems Power system stability Prediction algorithms Predictive models PV power prediction Renewable energy sources sparrow search algorithm Stability analysis
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