Mathematical and Knowledge-based Models, Optimization, Simulation, and Visualization for Energy Sustainability

Modelos matemáticos y de conocimiento, optimización, simulación y visualización para la sustentabilidad energética.

Purpose & Dynamics

In a working group (WG) with a particular subject, the members of the WG will share their ideas towards potential projects. In order to maximize the rate of success, there is a need of, at least, a leader (an expert in the topic) in charge of organizing, in an efficient way, participation of group members and coordinate with the Secretary (previously identified) to keep track and record agreements and compromises. Also, the Secretary will write up all the communications and follow the dynamic of participation and record for further follow up. Another important role of the Secretary is to control time and to fill the documents e.g. “one- page -project definition” (available a priori).

Briefly, the role of the Chairman is to moderate, encourage, animate and guide the discussion between participants and to ensure that the WG can converge to one or several specific projects.

The purpose of these sessions is:

Energy Planning

Planeación Energética

# Name Organization
1 Román Rodríguez Aguilar Universidad Anáhuac
2 José Antonio Marmolejo Saucedo Universidad Panamericana
3 Igor Litvinchev Universidad Autónoma de Nuevo León
4 Michael McNeil Lawrence Berkeley National Laboratory
5 Arnaud Chevallier Rice University
6 Rodrigo Palacios Tecnologico de Monterrey
7 Sara Benavides Tecnologico de Monterrey

Plant Operations - Modeling and Simulation

Operaciones de Planta - Modelación y Simulación

# Name Organization
1 Osiris Canciglieri Junior Pontifical Catholic University of Paraná
2 Moritz Hübel University of Rostock
3 Meihong Wang University of Sheffield
4 Enrique Ruíz Serna Instituto Nacional de Electricidad y Energías Limpias
5 Miguel Ramón Buenaventura Rossano Román Instituto Nacional de Electricidad y Energías Limpias
6 Erik Rosado * Tecnologico de Monterrey

Electricity Demand Forecasting, Ensemble methods, Big Data, Data Analytics

Pronósticos de Demanda Eléctrica, Métodos de ensamble, Big Data y Data Analytics

# Name Organization
1 Jairo Cugliari Université Lumiere Lyon 2
2 Isabel Sofia Brito Polytechnic Institute of Beja
3 Francisco Martínez Álvarez Pablo de Olavide University of Seville
4 Xiaobo Luo University of Sheffield
5 Gustavo Arroyo Figueroa Instituto Nacional de Electricidad y Energías Limpias
6 Guillermo Santamaría Bonfil Instituto Nacional de Electricidad y Energías Limpias
6 Miguel Ángel Zúñiga * Tecnologico de Monterrey