Developing a matlab tool while exploiting neural networks for combined prediction of hour's ahead system load along with irradiation, to estimate the system load covered by PV integrated systems
Renewable energy systems (RES), being a controversial issue regarding their integration into the electric power systems, create the necessity for research. In order to take part in the electricity market, a critical point is the prediction of the system load as well as the prediction of the RES prod...
Gespeichert in:
Hauptverfasser: | , , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Renewable energy systems (RES), being a controversial issue regarding their integration into the electric power systems, create the necessity for research. In order to take part in the electricity market, a critical point is the prediction of the system load as well as the prediction of the RES production. Within this scope, a matlab tool was developed to facilitate both the prediction of the system load as well as the PV production in several penetration levels. |
---|---|
DOI: | 10.1109/ICCEP.2009.5212061 |