Standout Papers

Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges... 2022 2026 2023 2024316
  1. 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 (2022)
    Tanveer Ahmad, Rafał Madoński et al. Renewable and Sustainable Energy Reviews

Immediate Impact

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Works of Rafał Madoński being referenced

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
2022 Standout

Author Peers

Author Last Decade Papers Cites
Rafał Madoński 923 505 184 48 1.4k
Ying Zhang 581 810 104 68 1.3k
Shuai Zhao 516 833 267 70 1.6k
Ali Ghasemi 751 857 102 67 1.7k
Mohammad Ataei 542 387 94 70 1.0k
Yuguang Niu 393 550 225 67 1.1k
R. Sitharthan 426 908 91 66 1.4k
Minghui Zheng 450 345 129 73 1.0k
Barış Baykant Alagöz 1001 523 67 88 1.4k
Jian Li 563 832 211 128 1.4k
Yu Zhang 761 1040 92 113 1.4k

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