Daniela Isidori

TL;DR: In this article, a comparison of energy dynamic and quasi-dynamic models with data from smart monitoring systems, indoor and outdoor environment measurements, power consumption and production data is performed to explore the performance gap between energy efficiency prediction in the design phase and measurements' evaluation in operational phase.

TL;DR: In this article, the main results obtained in the context of the 'Palazzo Comunale di Castelfidardo' monitoring project with WSN, with the aim to get an accurate numerical model (NM) that simulates the dynamic behaviour of the whole structure.

TL;DR: In this paper, the authors highlight the principles of integrated design procedure and link the process with smart building technologies, highlighting the benefits of effective thermal and electrical storage as a crucial factor of smart systems and smart buildings.

TL;DR: A Genetic Algorithm (GA) optimisation model, using Artificial Neural Network (ΑΝΝ) power predictions for day-ahead energy management at the building and district levels, is proposed and demonstrates the effectiveness of this approach for assessing DR load shifting options based on a Time of Use pricing scheme.

TL;DR: The paper shows that the virtual evolution of ba can lead theSECI model towards an inter-organizational level, and contextualizes the SECI model within a Web platform for open innovation, to investigate whether the knowledge creation process can take place entirely within a virtual environment linking subjects from different organizations.