Seung Woo Kang

Multivariate Time-Series Imagification with Time Embedding in Constrained Environments (Student Abstract)

We present an imagification approach for multivariate time-series data tailored to constrained NN-based forecasting model training environments. Our imagification process consists of two key steps: Re-stacking and time embedding. In the Re-stacking stage, time-series data are arranged based on high…