All Stories

  1. Dynamic Deep Clustering of High-Dimensional Directional Data via Hyperspherical Embeddings with Bayesian Nonparametric Mixtures
  2. ResiDualNet: A novel electric vehicle charging data imputation technique to enhance load forecasting accuracy
  3. Libby-Novick Beta-Liouville Distribution for Enhanced Anomaly Detection in Proportional Data
  4. Explainable finite mixture of mixtures of bounded asymmetric generalized Gaussian and Uniform distributions learning for energy demand management
  5. Data Clustering with Libby-Novick Beta-Liouville Mixture Models: A Minimum Message Length Approach
  6. Unsupervised Domain Adaptation in Smart Buildings.
  7. A novel non-intrusive load monitoring technique using semi-supervised deep learning framework for smart grid
  8. Occupancy Estimation in Smart Buildings: Impact of Data Quality on Feature Selection
  9. Addressing Load Forecasting Challenges in Industrial Environments Using Time Series Deep Models
  10. Assessing the Effectiveness of Supervised and Semi-supervised NILM Approaches in an Industrial Context
  11. Unsupervised Anomaly Detection using Deep Autoencoding Mixture of Probabilistic Principal Component Analyzers