Building Performance Optimization

Building Performance Optimization
innovative tools

socio—inhabitāre

event details

main researcher: Lucía C. Pérez Moreno
date: 2024-10-15
location: madrid tech summit
funding: Gobierno de Aragón · Subvención de difusión cultural 2025
research members: Lucía C. Pérez Moreno, Marta Gómez Gil, Laura Ruiz Morote Tramblin
type: innovative tools
other data:

Evento abierto al público registrado en la web del programa Built4Future. Material y grabaciones disponibles después del evento en el repositorio Zaguán de la Universidad de Zaragoza.

event description

Investigación sobre algoritmos de optimización energética para edificios inteligentes y sistemas automatizados de gestión.

event details

This innovative presentation at the Madrid Tech Summit showcased our laboratory's latest developments in AI-driven building performance optimization. The event featured live demonstrations of our proprietary neural network architecture that processes real-time building data to optimize energy consumption while maintaining optimal occupant comfort.\n\nKey technical highlights included:\n• Real-time adaptation algorithms that reduce energy consumption by 30%\n• Integration with IoT sensor networks for comprehensive environmental monitoring\n• Predictive maintenance capabilities preventing system failures\n• Machine learning models trained on data from over 100 buildings\n\nThe presentation generated significant interest from industry partners and led to three new collaboration agreements with major construction companies seeking to implement our technology in their next-generation smart buildings.