ALONSO FERNANDEZ, ANDRES MODESTO

Dr. Andrés Modesto Alonso is an Associate Professor in the Department of Statistics at Universidad Carlos III de Madrid, affiliated with the Energy Analytics research group and Flores de Lemus Institute. His work spans computer science, economics, and statistics through advanced time series analysis and energy forecasting methodologies.

• Primary affiliation: Department of Statistics, UC3M
• Research groups: Energy Analytics, Flores de Lemus Institute

His research focuses on time series analysis, energy forecasting, and statistical clustering with applications in electricity markets, smart grids, and environmental data. Recent publications emphasize deep learning models for energy prediction, dynamic factor models, and market-based distance metrics.

Scientific output trends show 15 recent articles (2018-2024) covering topics like:

• Electricity market price forecasting
• Smart grid optimization through clustering
• Adaptive control charts for industrial processes
• Precision matrix estimation in high-dimensional statistics
• Extreme value analysis for environmental monitoring

Dr. Alonso has supervised multiple theses on time series modeling and classification techniques, while collaborating on grants related to stochastic optimization and responsible AI applications in economic forecasting.