Infilling Missing Data in Time Series

Develop specific tools to infill missing data in time series that involve climate variables and derivatives of climate variables. What we mean by the latter is, for example, as well as working on wind speed data, we will show the differences in dealing with missing data in wind farm power output. The physical configuration of a wind farm, as well as the inherent smoothing effects of the turbines, makes the model structure for power output markedly different statistically from that for wind speed.

Hanyi Wang

University of South Australia

Miss Hanyi Wang is a final-year mathematics (data science) student at the University of South Australia. She is an enthusiastic person, and a student who is eager to learn and explore more on the modelling field. She loves how several lines of code could generate any amazing outputs and beautiful visualisations towards a problem. She is passionate about helping others understand mathematical concepts, and she plans to be a senior maths teacher after doing an honours degree in mathematics.

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