A neural network-based surrogate model to predict building features from heating and cooling load signatures
Addressing the challenges of scalable and cost-effective energy performance analysis in
mid to high-rise office buildings, this paper introduces a novel approach utilizing an inverse …
mid to high-rise office buildings, this paper introduces a novel approach utilizing an inverse …
Research on an adaptive prediction method for restaurant air quality based on occupancy detection
This study evaluates the impact of personnel on air quality in air-conditioned restaurant
environments during winter, summer, and transitional seasons, characterized by the …
environments during winter, summer, and transitional seasons, characterized by the …
[HTML][HTML] Modelling district heating demand: A synthetic dataset for two residential neighbourhoods
The extensive artificial datasets developed in this study capture the energy demands of two
districts and, with reasonable constraints, emulate monitoring campaigns typically …
districts and, with reasonable constraints, emulate monitoring campaigns typically …
[PDF][PDF] From Smart Heat Meters to Diagnostics: Data-Driven Methodologies for Building Efficiency Assessment within District Heating
D Leiria - 2024 - vbn.aau.dk
Overall, this dissertation provides a foundational framework for utilizing SHM data in
buildings with other sources of data to enhance the efficiency and sustainability of DH …
buildings with other sources of data to enhance the efficiency and sustainability of DH …