Dr. ANSELMI won the YOUNG SCIENTIST Award @ ACES-2018

The ELEDIA Research Center is pleased to announce that Dr. Nicola ANSELMI has been awarded the "YOUNG SCIENTIST AWARD" at…

Prof. Oliveri named Associate Editor of IEEE JMMCT

The ELEDIA Research Center is pleased to announce that Prof. Giacomo Oliveri has been named Associate Editor of the IEEE Journal…

R. J. Mailloux has joined ELEDIA

The ELEDIA Research Center is pleased to announce that Dr. R. J. Mailloux is member of the ELEDIA Teaching Staff.…

Smart Electrical Grids

The complexity of future cities and the increasing importance of reducing environmental impact of urbanization is driving a great interest on ICT methodologies and technologies able to increase energy efficiency, enable more flexible energy management policies, as well as support fast reconfigurability and adaptation of the electrical grids to the evolution of the context (i.e., variations and oscillations in the distributed energy production/consumption). In this framework, several open challenges still needs to be addressed and potential solutions need to be experimentally validated specifically concerning the capability of ICT techniques to reliably manage electrical grid through resilient, real-time learning methodologies. The aim of this research area is therefore to propose innovative ICT approaches integrating learning-by-example methods and optimization techniques to realize next-generation real-time smart and cognitive grid solutions.

Smart grid and smart building management

Bidirectional interaction among multiple elements of a Smart Grid infrastructure

Architecture example of a highly complex smart grid

Members of the ELEDIA Research Center are working on the development of several innovative approaches for the design of innovative smart grid solutions, including

energy efficiency tools in smart buidlings through combination of smart distributed sensing technologies and multi-objective evolutionary optimization methods.
integration of methodologies for energy production forecast and global optimization tools to enable pro-active cognitive grid management.
game theory approaches as applied to smart grids including cooperative and non-cooperative prosumers.

The research activities carried out in this area are specifically focused on the study, development, prototyping, and testing of smart grid solutions in controlled environments as well as in real-world scenarios including large buildings and urban areas.

Power consumption profiles prediction and optimization

Simulation of smart grids for numerical performance analysis

Keywords: Smart grids, Cognitive grids, Smart Buildings, Energy Efficiency through Distributed Monitoring, Energy Production Forecast and Control

Additional Material

TEW-IP Project

Recent Projects

Project "Edifici a Zero Consumo Energetico in Distretti Urbani Intelligenti (EEB)", Bando Ministero dell'Istruzione, dell'Universita' e della Ricerca, Cluster Tecnologici Nazionali, Tecnologie per le Smart Communities, CTN01_00034, Contact Point Prof. Andrea Massa, 2014-2016.
Project "Sviluppo di moduli software del coordinatore Zigbee e di un bundle OSGi per il profilo energy@home operante su home gateway ADB", ADB Broadband, Coordinator Prof. Andrea Massa, 2011.
Project "Telecontrollo Wireless Illuminazione Pubblica (TEW-IP)", Provincia Autonoma di Trento, Agenzia Provinciale per l'Energia (APE), L.P. 14/1980, Bando 2010, Interventi Dimostrativi per Il Risparmio Energetico e l'Utilizzo di Fonti Rinnovabili, Coordinator Dr. Giacomo Oliveri, 2012-2016.