Clay Elmore successfully defended his senior thesis "Dynamic Mode Decomposition for Energy Market Price Forecasting". Clay's work shows how Dynamic Mode Decomposition, a popular data-driven and equation-free modeling framework, can accurately forecast time series energy prices orders of magnitude faster than traditional time series analysis and deep neural networks. Congratulations Clay on the excellent senior thesis and good luck at Deloitte!
Read more about Clay's work here or connect with Clay on LinkedIn.