Multivariate Time-Series Anomaly Detection — Jena Climate

LSTM and 1D-CNN autoencoders for spike and drift detection in multivariate sensor data.

Programming for Big Data project. Evaluated window length and training stride sensitivity via PR-AUC, F1, false alarms, and drift detection delay across two autoencoder architectures.