TY  - JOUR
AU  - Eschenbach, Annette
AU  - Yepes, Guillermo
AU  - Tenllado Van Der Reijden, Christian Tomás
AU  - Gómez Pérez, José Ignacio
AU  - Piñuel Moreno, Luis
AU  - Zarzalejo, Luiis F.
AU  - Wilbert, Stefan
PY  - 2020
DO  - 10.1109/ACCESS.2020.2980775
SN  - 2169-3536
UR  - https://hdl.handle.net/20.500.14352/6227
T2  - IEEE access
AB  - Improving short term solar irradiance forecasting is crucial to increase the market share of the solar energy production. This paper analyzes the impact of using spatially distributed irradiance sensors as inputs to four machine learning algorithms:...
LA  - eng
M2  - 51518
PB  - IEEE
KW  - Solar-radiation
KW  - Cloud motion
KW  - Network
KW  - Systems
KW  - Models
KW  - Impact
KW  - Machine learning
KW  - Forecasting
KW  - Spatial resolution
KW  - Solar irradiance
KW  - Global horizontal irradiance
TI  - Spatio-temporal resolution of irradiance samples in machine learning approaches for irradiance forecasting
TY  - journal article
VL  - 8
ER  -