Model-based Aggregation

Model-Based Aggregation is a state aggregation method that employs an explicitly defined computational or mathematical model to structure and guide the grouping of states based on learned or assumed system dynamics, distinguishing it from heuristic or data-driven approaches.

127

Publications

8.5K

Citations

452

Authors

206

Institutions

Publications per year

2017–2026

70

Authors

452

  1. YS
    Yuanming Shi

    ShanghaiTech University, China

    5 publications · 1.3K citations

    5

    h-index

  2. KY
    Kai Yang

    ShanghaiTech University, China

    4 publications · 1.3K citations

    4

    h-index

  3. YZ
    Yong Zhou

    ShanghaiTech University, China

    3 publications · 264 citations

    3

    h-index

  4. ZZ
    Zhi Zhou

    Sun Yat-sen University, China

    3 publications · 525 citations

    3

    h-index

  5. XC
    Xu Chen

    Sun Yat-sen University, China

    3 publications · 525 citations

    3

    h-index

1–5 of 452

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 182 citations

    7

    h-index

  2. IEEE Transactions on Wireless Communications

    5 publications · 1.6K citations

    5

    h-index

  3. IEEE Internet of Things Journal

    5 publications · 274 citations

    5

    h-index

  4. IEEE Transactions on Power Systems

    3 publications · 134 citations

    3

    h-index

  5. Electronics Letters

    3 publications · 55 citations

    3

    h-index

1–5