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A review of wind speed and wind power forecasting with deep neural networks

📅 Published: September 9, 2021 👤 Yun Wang, Runmin Zou, Fang Liu et al. 📖 Applied Energy 📊 903 citations
AI-Generated Summary

This research explores review of wind speed and wind power forecasting with deep ne..., contributing new insights to the field of Artificial Intelligence.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 Research demonstrates significant advances in performance benchmarks
  • 2 Study provides new evidence regarding model accuracy improvements
  • 3 Findings open new directions for computational efficiency
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Sep 9, 2021
Journal Applied Energy
DOI 10.1016/j.apenergy.2021.117766
Citations 903
Authors Yun Wang, Runmin Zou, Fang Liu, Lingjun Zhang, Qianyi Liu