Chiu, Jeremy

Accurate labeling of phase connectivity in electrical distribution systems is important for maintenance and operations but is often erroneous or missing. In my project, we presented a process to identify which smart meters must be in the same phase using a statistical clustering method on voltage time series data. The data set was the hourly voltage of ~2000 smart meters across California over a 3-month period. To improve accuracy, we compress the data and reduce the size by using Fourier series – ultimately, we used an approximation that was 2% in size but still retained 80% of the original features.

Image showcasing the Mathematically Modelling Rolling Locust Swarms project.

Image showcasing the Mathematically Modelling Rolling Locust Swarms project.

We sought to create a computer simulation of rolling locust swarms. Rather than having the locusts move ad-hoc, we setup and equations that, when solved, would describe their movement. Most of our time and energy was devoted to 1) creating sensible equations and 2) designing methods to efficiently solve the equations.