Estimating the uncertainty in long-term photovoltaic yield predictions
By D. Thevenard, S. Pelland. 2013
236 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/95325be220ed94d7588e64d35759375fa3f1123f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Fariborz Mansouri Kouhestani
- D. Dirnberger
- J. Byrne
- Daniel L. Johnson
- G. Blackburn
- Locke Spencer
- C. Reise
- Björn Müller
Citations in the corpus
- On the impact of solar spectral irradiance on the yield of different PV technologies (2015, background): “The poor availability of spectrally resolved irradiance data leads to the situation that spectral effects are either not considered at all, or just by fixed loss or gain factors (possibly technology-specific) that do, however, not take the location into account [26, 48].”
- Evaluating solar energy technical and economic potential on rooftops in an urban setting: the city of Lethbridge, Canada (2018, background): “5% uncertainty in solar PV energy output calculation is estimated [66].”