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Quantifying the system value of variable resource forecasting for a range of penetration levels and weather systems in South Africa

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dc.contributor.author Landwehr, Gregory B
dc.contributor.author Wright, Jarrad G
dc.date.accessioned 2018-05-31T12:26:18Z
dc.date.available 2018-05-31T12:26:18Z
dc.date.issued 2018-05
dc.identifier.citation Landwehr, G.B. and Wright, J.G. 2018. Quantifying the system value of variable resource forecasting for a range of penetration levels and weather systems in South Africa. International Conference on Energy Meteorology, 23 May 2018, Shanghai, China en_US
dc.identifier.uri http://hdl.handle.net/10204/10250
dc.description Presentation delivered at the International Conference on Energy Meteorology, 23 May 2018, Shanghai, China en_US
dc.description.abstract The CSIR is embarking on a project to develop a localised system operator variable renewable energy (VRE) forecasting model. Forecasting improvement requires detailed understanding of local weather anomalies and systems with best of breed international methods. en_US
dc.language.iso en en_US
dc.relation.ispartofseries Worklist;20939
dc.subject Variable renewable energy en_US
dc.subject VRE en_US
dc.subject Weather anomalies en_US
dc.title Quantifying the system value of variable resource forecasting for a range of penetration levels and weather systems in South Africa en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Landwehr, G. B., & Wright, J. G. (2018). Quantifying the system value of variable resource forecasting for a range of penetration levels and weather systems in South Africa. http://hdl.handle.net/10204/10250 en_ZA
dc.identifier.chicagocitation Landwehr, Gregory B, and Jarrad G Wright. "Quantifying the system value of variable resource forecasting for a range of penetration levels and weather systems in South Africa." (2018): http://hdl.handle.net/10204/10250 en_ZA
dc.identifier.vancouvercitation Landwehr GB, Wright JG, Quantifying the system value of variable resource forecasting for a range of penetration levels and weather systems in South Africa; 2018. http://hdl.handle.net/10204/10250 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Landwehr, Gregory B AU - Wright, Jarrad G AB - The CSIR is embarking on a project to develop a localised system operator variable renewable energy (VRE) forecasting model. Forecasting improvement requires detailed understanding of local weather anomalies and systems with best of breed international methods. DA - 2018-05 DB - ResearchSpace DP - CSIR KW - Variable renewable energy KW - VRE KW - Weather anomalies LK - https://researchspace.csir.co.za PY - 2018 T1 - Quantifying the system value of variable resource forecasting for a range of penetration levels and weather systems in South Africa TI - Quantifying the system value of variable resource forecasting for a range of penetration levels and weather systems in South Africa UR - http://hdl.handle.net/10204/10250 ER - en_ZA


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