Login
- Title:
Data-Driven Modeling of Commercial Off-the-Shelf Photovoltaic Inverters Using Neuromancer
- Document type:
- Konferenzbeitrag
- Contribution type:
- Textbeitrag / Aufsatz
- Author(s):
- Ghimire, P.; Poudel, S.; Bhujel, N.; Dhiman, V.; Hummels, D.; Tonkoski, R.
- Pages contribution:
- 135-140
- Keywords:
- Photovoltaic systems; Renewable energy sources; Accuracy; System dynamics; Computational modeling; Voltage; Inverters; Data-driven modeling; Inverter Models; Neuro-mancer; System identification; Pytorch; Grid Support Function
- Book / Congress title:
- 2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)
- Date of congress:
- 19.06.2024 - 21.06.2024
- Publisher:
- IEEE
- Date of publication:
- 19.06.2024
- Year:
- 2024
- Reviewed:
- ja
- Language:
- en
- Fulltext / DOI:
- doi:10.1109/speedam61530.2024.10609141
- TUM Institution:
- PT&D
- Copyright statement:
- Copyright © 2021 Speedam All rights reserved
BibTeX