Article, 2024

Feature-driven strategies for trading wind power and hydrogen

ELECTRIC POWER SYSTEMS RESEARCH, ISSN 0378-7796, Volume 234, 10.1016/j.epsr.2024.110787

Contributors

Helgren, Emil (Corresponding author) [1] Kazempour, Jalal [1] Mitridati, Lesia [1]

Affiliations

  1. [1] Tech Univ Denmark, Dept Wind & Energy Syst, Lyngby, Denmark
    2. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

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Keywords

Feature-driven model, Hybrid power plants, Linear policies, Real-time adjustment strategy, Trading decisions

Data Provider: Clarivate

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