Photovoltaic (PV) power forecasting is of great significance for ensuring the safe and stable operation of power systems. In response to the nonlinearity of PV power time series and their complex local and global temporal correlations, this study proposes an ultra-short-term forecasting framework based on complete ense...
Shu-Mei Zhang, Zhi-Wen Wang, Hao-Xu Wang et al.· Engineering Research Express· 0 citations
Photovoltaic (PV) power generation is affected by meteorological and geographical factors, displaying volatility, nonlinearity, and characteristics across multiple timescales. Accurate short-term forecasting of PV power is essential for enhancing PV resource utilization in the power grid and maintaining the quality of...
Wan-Nian Wei, Zhi-Wen Wang, Hao-Xu Wang et al.· Journal of Renewable and Sus...· 0 citations
This paper proposes a short-term electrical load forecasting method based on a BiGRU-Attention network optimized by an improved multi-strategy black-winged kite algorithm (IMBKA), which achieves favorable forecasting performance among the compared models.
Binglin Liang, Zhiwen Wang, Bo Tian et al.· Energies· 0 citations
FullDiT is introduced, a conditional DiT that fuses eight frame-aligned RVQ streams with independently encoded captions and lyrics and uses non-causal self-attention over the complete acoustic latent sequence and outperforms five commercial systems on 15 of 18 automatic metrics.
Yun-Jia Li, Meng-Li Wu, Jun-Yu Dai et al.· 0 citations
In this report, we present Qwen-Audio-3.0-TTS, a production-oriented speech synthesis system that jointly advances content consistency, speaker similarity, prosodic naturalness, audio quality, controllability, multilingual coverage, efficiency, and robustness. It combines a 12.5~Hz low-frame-rate speech tokenizer for r...
Bajian Xiang, Cheng Wen, Han Zhao et al.· 5 citations· ⚡1
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