Raphaël Huser

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

A review of statistically-based landslide susceptibility models

A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids

Big data issues in smart grid – A review

Review on deep learning applications in frequency analysis and control of modern power system

Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm

Deep ensemble learning based probabilistic load forecasting in smart grids

A practical feature-engineering framework for electricity theft detection in smart grids

Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges

Big data analysis of the Internet of Things in the digital twins of smart city based on deep learning

Deep Learning-Based Socio-Demographic Information Identification From Smart Meter Data

Using Bayesian Deep Learning to Capture Uncertainty for Residential Net Load Forecasting

Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices

Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster

Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression