3 citations · 3 across the 4 of their papers we have counts for
4 papers
Causal Feature Selection for Weather-Driven Residential Load Forecasting
Elise Zhang, François Mirallès, Stéphane Dellacherie +2
Weather is a dominant external driver of residential electricity demand, but adding many meteorological covariates can inflate model complexity and may even impair accuracy. Select…
MXMap: A Multivariate Cross Mapping Framework for Causal Discovery in Dynamical Systems
Elise Zhang, François Mirallès, Raphaël Rousseau-Rizzi +3
Convergent Cross Mapping (CCM) is a powerful method for detecting causality in coupled nonlinear dynamical systems, providing a model-free approach to capture dynamic causal intera…
Time Series Anomaly Detection via Reinforcement Learning-Based Model Selection
Jiuqi Elise Zhang, Di Wu, Benoit Boulet
Time series anomaly detection has been recognized as of critical importance for the reliable and efficient operation of real-world systems. Many anomaly detection methods have been…
Time Series Anomaly Detection for Smart Grids: A Survey
Jiuqi Elise Zhang, Di Wu, Benoit Boulet
With the rapid increase in the integration of renewable energy generation and the wide adoption of various electric appliances, power grids are now faced with more and more challen…