1 PREDICTION OF SOLAR IRRADIANCE FROM WEATHER DATA USING MACHINE LEARNING
| dc.contributor.advisor | Dr Alessandro Checco | |
| dc.contributor.author | JOMANAH ALI ABDULAZIZ ALHAMIDI | |
| dc.date | 2019 | |
| dc.date.accessioned | 2022-05-26T16:29:26Z | |
| dc.date.available | 2022-05-26T16:29:26Z | |
| dc.degree.department | DATA SCIENCE | |
| dc.degree.grantor | THE UNIVERSITY OF SHEFFIELD | |
| dc.description.abstract | A main aim of this study is to predict solar irradiance as solar power generation metrics. In order to do that, multiple machine learning algorithms are applied to data collected from a network of solar and wind resource monitoring stations and weather data in Saudi Arabia | |
| dc.identifier.uri | https://drepo.sdl.edu.sa/handle/20.500.14154/29861 | |
| dc.language.iso | en | |
| dc.title | 1 PREDICTION OF SOLAR IRRADIANCE FROM WEATHER DATA USING MACHINE LEARNING | |
| sdl.thesis.level | Master | |
| sdl.thesis.source | SACM - United Kingdom |