The role of hydrogen for deep decarbonization of energy systems: A Chilean case study
(Español) Proyecto estudia incertidumbre por uso de energías renovables en la transición energética chilena
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CENTRA UAI researchers develop techniques for the intelligent management of solar energy
The project is funded by the National Research and Development Agency (ANID) and also had the participation of the companies Metric Arts EY and MiroSolar. A study led by a research team from the UAI Center for Energy Transition, within the framework of the Fondef IDeA project “GEMA (Energy Management in Microgrids with Storage) managed to develop techniques to intelligently manage solar energy. The…
Energy transition: experts address global and public policy challenges
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Integration of predictive and prescriptive approaches in stochastic optimization
The use of data science tools for decision making in organizations has grown significantly in recent years. The usual practice is to first use the data to create a forecast model for uncertain elements, such as demand, and then use this model as input in an optimization scheme that chooses the best course of action from a set of alternatives. The objective of this project…
Distributionally Robust Models for Multi-Stage Stochastic Optimization Problems
This research project aims to develop new models, theory, and algorithms for dynamic optimization model problems that incorporate robustness for the underlying probability distributions. We focus our work on the important classes of multistage stochastic problems, in which information is revealed period by period and decisions are made accordingly, using information from previous stages.
Adapting to the uncertainties and risks of climate change: Advanced methods and models for energy systems and markets
The aim of the project is to develop new mathematical models and computational methods that help the private and public sector to adapt energy systems and markets to high uncertainties and risks derived from climate change. To achieve this goal, the research addresses three research objectives: (1) Model and classify the different types of uncertainties and risks associated with climate change; (2) Develop energy planning…
GEMA: Improving energy management in micro grids with storage via stochastic optimization and machine learning
The overall aim of this project is to improve and implement an optimal energy management system for generation systems based on photovoltaic panels and with storage units. These systems can be both on-grid (connected to the network) and off-grid (isolated systems, generally in remote locations), and connected to a small number of users, such as a home or a small business. Specifically, the management system…