Computer Vision for Smart Cities

This research activity will be focused on the creation of novel tools and services through a High Energy Performance approach. The main goal is to develop an AI service for optimal control of energy considering behind the meter resources (management of energy sources at user level), with local (building or district) overall efficiency.

In different research areas in the Energy Sector there are problems to solve that many times involve complex algorithms. Some of these algorithms can benefit from the fact that there can be a great reduction in their processing times when using the High Performance computing power of GPUS (Graphic Proccessing Units).

We are interested in got talent for research and implementation of guidance systems sensory. Systems that physiologically monitor the user to make decisions in the navigation in different spaces in emergency situations. These spaces can be structured spaces or diaphanous spaces where energy monitoring can play a key role in management of emergency situations in the SMART ENERGY program.

Ours is a connected world. Technological (power, communications and transportation) networks play a leading role in our daily lives. To cope with the technological challenges posed by the modern society, contemporary networked systems have became more flexible, involved and autonomous. Power and transportation networks are now equipped with batteries and have access to renewable sources of energy. This evolution has opened the door to more energy efficient operation schemes and to better user’s experience. However, it has also made the design, management and operation of the networks more difficult. Successful execution of those tasks requires a detailed modeling and analysis of the network and its terminals.