OPTIMIZATION AND ANALYTICS FOR SUSTAINABLE ENERGY SYSTEMS (OASYS) TEP967

Description

OASYS is a multidisciplinary research group that currently has eight researchers who develop their work in the areas of Applied Mathematics, Statistics and Operations Research, Optimization, and Power Systems Operation and Planning. More specifically, the group is dedicated to the design, implementation and validation of new mathematical methods for making decisions with uncertainty using advanced mathematical techniques of optimization and automatic learning, where the energy sector is its main field of application to date.

Research Topics

Optimization and prediction.
Automatic learning techniques for decision making under uncertainty.
Exploitation and planning of energy systems with a high renewable component.
New methods for the operation of smart energy networks.

Scientific-Technical Services

Creation and implementation of models for the analysis, classification and interpretation of large amounts of data.
Design and development of models for the control and prediction of renewable energy systems.
Development of business strategies in energy markets. Advice on investments in production assets, consumption, storage, transportation and distribution.
Reports on the techno-economic impact of the integration of renewable energies (wind, solar, etc.).