Choosing an energy-efficient software architecture for building system diagnostic support

Excerpt

arXiv:2610.06444v1 Announce Type: cross Abstract: Around 30\% of global energy expenditure can be attributed to the building sector, where a large portion of energy-consumption could be avoided by repairing existing faults. Fault detection and diagnosis (FDD) software addresses this issue; however, its creation and operation also have an environmental impact. The magnitude of this impact is influenced by the diagnosis architecture, as different architectures and methods have different energy dem