Abstract
Photovoltaic forecasts are necessary in many fields of the energy industry. The rapid expansion of photovoltaic systems within the last years poses a growing problem especially for grid operators. New innovative concepts like smart storage solutions for reducing the grid load often need a generation forecast in order to be operated properly. In this work, a photovoltaic forecast based on only freely available cloud data is developed and compared to a commercially available one by evaluating their accuracy. Therefore, both forecasts are adapted to a 14 kWp photovoltaic system in Upper Bavaria, Germany. An Analysis of the results shows that both forecasts yield comparable results, but the one based on freely available data shows extreme inaccuracies in case of difficult prediction conditions like changeable cloud movement.
| Originalsprache | Englisch |
|---|---|
| Titel | 2016 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2016 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (elektronisch) | 9781509021574 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 22 Juli 2016 |
| Veranstaltung | 2016 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2016 - Dallas, USA/Vereinigte Staaten Dauer: 3 Mai 2016 → 5 Mai 2016 |
Publikationsreihe
| Name | Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference |
|---|---|
| Band | 2016-July |
| ISSN (Print) | 2160-8555 |
| ISSN (elektronisch) | 2160-8563 |
Konferenz
| Konferenz | 2016 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2016 |
|---|---|
| Land/Gebiet | USA/Vereinigte Staaten |
| Ort | Dallas |
| Zeitraum | 3/05/16 → 5/05/16 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
