The increasing penetration of solar energy into power systems poses significant challenges to grid dispatch and operation due to its inherent variability and strong dependence on meteorological con...
<p><strong>Tác giả:</strong> ANH THO VU THI, TUAN ANH NGUYEN, Phạm Mạnh Hải</p>
<p>The increasing penetration of solar energy into power systems poses significant challenges to grid dispatch and operation due to its inherent variability and strong dependence on meteorological conditions. Recently, Transformer-based deep learning models have demonstrated great potential in time-series analysis owing to their self-attention mechanism. However, the vanilla Transformer architecture tends to prioritize long-term dependencies, which may result in an insufficient capture of local,...</p>
<p>📄 DOI: <a href="https://doi.org/https://doi.org/10.46242/jstiuh.v83i05.6178" target="_blank" rel="noopener">https://doi.org/10.46242/jstiuh.v83i05.6178</a></p>
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