COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Physically-based modelling approaches to power-system forecasting: weather and climate
Physically-based modelling approaches to power-system forecasting: weather and climateAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Mustapha Amrani. This talk has been canceled/deleted Physically-based atmospheric models are powerful tools and are widely used in Numerical Weather Prediction (NWP) at timescales of hours to days. This talk will discuss the construction of these models, their application to power-forecasting, and the use of probabilistic strategies to reliably interpret their output. The advantages and disadvantages of NWP compared to pure statistical models will be discussed. The scope of the forecasting problem will then be extended to consider the potential for longer-range predictability and the affects of a changing climate on the energy system. Ongoing research exploring (a) the use of long-range weather forecasting for energy applications (weeks to seasons ahead), and (b) the impact of future climate on energy systems, will be discussed. This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:This talk is not included in any other list Note that ex-directory lists are not shown. |
Other listsLinguistics talk on the differences between Latin American and Iberian Spanish Electron Microscopy Group Conferences Computer Science Careers Events Cambridge University Science and Policy Exchange (CUSPE) Sir Andrew Motion Visits Cambridge in War Poets Event Cambridge Conversations in TranslationOther talksSingle Cell Seminars (October) Atmospheric Retrieval The DNA oxygenase TET1 in mammalian embryonic development and epigenetic reprogramming Developing a single-cell transcriptomic data analysis pipeline Macrophage-derived extracellular succinate licenses neural stem cells to suppress chronic neuroinflammation An SU(3) variant of instanton homology for webs The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine’s Computer Age Cambridge-Lausanne Workshop 2018 - Day 2 Autumn Cactus & Succulent Show Understanding mechanisms and targets of malaria immunity to advance vaccine development Developing joint research between a UK university and and INGO on disability and education: opportunities and challenges |