Data-Driven Modeling of Commercial Off-the-Shelf Photovoltaic Inverters Using Neuromancer
Seitenangaben Beitrag:
135-140
Stichworte:
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
Kongress- / Buchtitel:
2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)