| Abstrakt: |
The IBIS ECO prototype platform is introduced here as a Decision Support System (DSS) designed to intelligently monitor and efficient management of the energetic performance and comfort of existing buildings. This innovative DSS is user-friendly and prioritizes sustainability by employing wireless IoT equipment that automatically adjusts to each building's unique characteristics. Through integration with IoT networks, big data infrastructure, algorithms, and advanced artificial intelligence models, IBIS ECO conducts predictive analysis, identifying anomalies and discomfort situations at an early stage. During the research phase, the prototype drew insights from two distinct case studies in Basilicata, in southern Italy: a primary school classroom and a university classroom with varying occupancy rates, usage patterns, plant system, and environmental conditions. In its development, IBIS ECO focused on creating customizable dashboards and smart applications to effectively monitor and manage environmental and energy parameters, including microclimatic conditions, resource usage, and infrastructure. Moreover, IBIS ECO serves as a comprehensive tool for energy managers, maintainers, and building occupants, promoting continuous monitoring and enhancing well-being and energy efficiency both indoors and outdoors. Its data-driven approach empowers users' awareness to make informed decisions, leading to energy savings, environmental sustainability, and improved living conditions. [ABSTRACT FROM AUTHOR] |
