State-of-the-art on research and applications of machine learning in the building life cycle
Fueled by big data, powerful and affordable computing resources, and advanced algorithms,
machine learning has been explored and applied to buildings research for the past decades …
machine learning has been explored and applied to buildings research for the past decades …
A review and reflection on open datasets of city-level building energy use and their applications
Data related to building energy use fuels the research and applications on building energy
efficiency, which is an essential measure to address global energy and environmental …
efficiency, which is an essential measure to address global energy and environmental …
Data mining in the construction industry: Present status, opportunities, and future trends
H Yan, N Yang, Y Peng, Y Ren - Automation in Construction, 2020 - Elsevier
The construction industry is experiencing remarkable growth in the data generation. Data
mining (DM) from considerable amount of data in the construction industry has emerged as …
mining (DM) from considerable amount of data in the construction industry has emerged as …
Occupant-centric urban building energy modeling: Approaches, inputs, and data sources-A review
Occupant-related inputs are significant parameters that influence energy simulation
accuracy at both the building and urban levels. In most previous research works, fixed …
accuracy at both the building and urban levels. In most previous research works, fixed …
A review of deterministic and data-driven methods to quantify energy efficiency savings and to predict retrofitting scenarios in buildings
Increasing the energy efficiency of the built environment has become a priority worldwide
and especially in Europe. Because of the relatively low turnover rate of the existing built …
and especially in Europe. Because of the relatively low turnover rate of the existing built …
Development of an ANN-based building energy model for information-poor buildings using transfer learning
Accurate building energy prediction is vital to develop optimal control strategies to enhance
building energy efficiency and energy flexibility. In recent years, the data-driven approach …
building energy efficiency and energy flexibility. In recent years, the data-driven approach …
SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methods
Cities officials are increasingly interested in understanding spatial and temporal energy
patterns of the built environment to facilitate their city's transition to a low-carbon future. In …
patterns of the built environment to facilitate their city's transition to a low-carbon future. In …
Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review
Traditional occupant behavior modeling has been studied at the building level, and it has
become an important factor in the investigation of building energy consumption. However …
become an important factor in the investigation of building energy consumption. However …
Unsupervised learning of energy signatures to identify the heating system and building type using smart meter data
A high-quality building energy retrofit analysis requires knowledge of building characteristics
like the type of installed heating system. This means auditing the building in person or …
like the type of installed heating system. This means auditing the building in person or …
Prediction of building power consumption using transfer learning-based reference building and simulation dataset
Y Ahn, BS Kim - Energy and Buildings, 2022 - Elsevier
With the advancements in data processing technologies and the increased use of
renewable energy systems, the development of microgrid has gained attention …
renewable energy systems, the development of microgrid has gained attention …