Landwehr, Gregory BWright, Jarrad G2018-05-312018-05-312018-05Landwehr, 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, Chinahttp://hdl.handle.net/10204/10250Presentation delivered at the International Conference on Energy Meteorology, 23 May 2018, Shanghai, ChinaThe 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.enVariable renewable energyVREWeather anomaliesConference PresentationLandwehr, 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/10204/10250Landwehr, 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/10204/10250Landwehr 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 .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 -