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Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm

📅 March 5, 2022 👤 Tanveer Ahmad, Rafał Madoński, Dongdong Zhang et al. 📖 Renewable and Sustainable Energy Reviews 📊 667 citations

🤖 Plain-English Summary

This research explores Data-driven probabilistic machine learning in sustainable sm..., contributing new insights to the field of Artificial Intelligence.

🔑 Key Findings

  • Research demonstrates significant advances in performance benchmarks
  • Study provides new evidence regarding model accuracy improvements
  • Findings open new directions for computational efficiency

💡 Why This Matters

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

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Mar 05, 2022
Journal Renewable and Sustainable Energy Reviews
Authors Tanveer Ahmad, Rafał Madoński, Dongdong Zhang, Chao Huang, Asad Mujeeb
DOI 10.1016/j.rser.2022.112128
Citations 667
Source OpenAlex

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