Article, 2024

A novel entropy-based method for quantifying urban energy demand aggregation: Implications for urban planning and policy

SUSTAINABLE CITIES AND SOCIETY, ISSN 2210-6707, Volume 103, 10.1016/j.scs.2024.105284

Contributors

Wang, Renfang [1] Liu, Xiufeng 0000-0001-5133-6688 (Corresponding author) [2] Zhao, Xinyu [1] Cheng, Xu 0000-0002-8743-3866 [3] Qiu, Hong 0000-0002-7910-857X (Corresponding author) [1]

Affiliations

  1. [1] Zhejiang Wanli Univ, Coll Big Data & Software Engn, Ningbo 315200, Peoples R China
    2. [NORA names: China; Asia, East];
  2. [2] Tech Univ Denmark, Dept Technol Management & Econ, DK-2800 Lyngby, Denmark
    3. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  3. [3] Tianjin Univ Technol, Sch Comp Sci & Engn, Tianjin 300384, Peoples R China
    4. [NORA names: China; Asia, East]

Abstract

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Keywords

Entropy theory, Information loss or distortion, Optimal spatial scale, Quality and reliability of UEDA results, Urban energy demand aggregation

Data Provider: Clarivate

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