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Power system analysis in renewable energy systems research: a bibliometric review of publications on Python for power system analysis framework
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DOI：10.1016/j.egyai.2026.100872.png)
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Abstract
En 中文
• Advanced programming tools (based on Python) are gaining rapid popularity in renewable and applied energy systems research, as confirmed by our research literature mapping. • Python for Power System Analysis (PyPSA) framework represents one of the most advanced tools of its kind. • Traditional grid models are inadequate for dynamic systems: PyPSA provides a transparent, scalable framework for optimizing energy systems across multiple sectors and time periods. • Applied Energy journal is identified as the leading outlet for PyPSA-related applied energy systems research. • In the era of “AI hype”, PyPSA functions as a methodological reference point for open, reproducible, and scalable modelling of renewable energy transitions.
Keywords:
uage processing
open-source modelling
power system optimization
Journal
IF:
9.6
Papers:
835
Citations:
3.1K
Organization
No organization information available