Matthew J. Reno
Artificial Intelligence · 2012–2016
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it
- Global and Planetary Change — 10 citations into it
- Renewable Energy, Sustainability and the Environment — 8 citations into it
Whom Matthew J. Reno trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Matthew J. Reno's perspective
Ordered by how strongly the researchers Matthew J. Reno trusts endorse each paper. Same corpus, a different order for every researcher.
- A new airmass independent formulation for the Linke turbidity coefficient
- On the clear sky model of the ESRA — European Solar Radiation Atlas — with respect to the heliosat method
- Direct solar transmittance and irradiance predictions with broadband models. Part II: validation with high-quality measurements
- Direct solar transmittance and irradiance predictions with broadband models. Part I: detailed theoretical performance assessment
- Comparison of eight clear sky broadband models against 16 independent data banks
- Identification of clear skies from broadband pyranometer measurements and calculation of downwelling shortwave cloud effects
- A new operational model for satellite-derived irradiances: description and validation
- Solar position algorithm for solar radiation applications
- A broadband simplified version of the Solis clear sky model
- Solar radiation model
Their papers
- Identification of periods of clear sky irradiance in time series of GHI measurements (2016) — 165 citations
- Global horizontal irradiance clear sky models : implementation and analysis. (2012) — 303 citations