An estimation methodology for the dynamic operational rating of a new residential building using the advanced case-based reasoning and stochastic approaches

Development of a dynamic operational rating system in energy performance certificates for existing buildings: Geostatistical approach and data-mining technique

“…The research team aims to develop an estimation methodology for the dynamic operational rating of a new residential building in the early design phase by combining the data-mining techniques (i.e., case-based reasoning, artificial neural network, and multiple regression analysis) and the stochastic approach. The results of this study will be used for the contractors in a competitive bidding process to improve the real estate asset value (i.e., the rental and capital values) by considering the building energy performance [57].…”

A review on sustainable construction management strategies for monitoring, diagnosing, and retrofitting the building’s dynamic energy performance: Focused on the operation and maintenance phase

“…This approach can reduce the potential risk in the decision-making (i.e., the performance gap) (refer to Fig. 19) [15]. 7.7.…”

“…Toward this end, the following factors should be considered. First, the data mining or machine learning technique should be implemented to retrieve valuable information from the big data in a large city [13][14][15][16][17][41][42][43][213][214][215][216][217][218][219][220][221]. This is because it is very difficult to provide the monitoring indexes from the national or local perspective.…”

“…[213][214][215][216] and (ii) the previous studies using the monthly-based data (e.g., monthly average daily solar radiation for estimating the electricity generation of the photovoltaic system, monthly electricity and gas energy consumption for establishing the optimal implementation strategy of a fuel-cell system, etc.) [15,[41][42][43]197,198]. The aforementioned previous studies aimed to establish the energy policy from the national or local perspective and to establish the optimal energy retrofit strategy from the viewpoint of a single building.…”

“…Ultimately, it is expected that this study will allow researchers, practitioners, and policymakers to understand the dynamic approach for maintaining the building's energy performance and to adopt the holistic approach for developing the Carbon Integrated Management System for monitoring, diagnosing and retrofitting the building's dynamic energy performance in a City, an urban organism (CIMSCity) so as to minimize the carbon emissions in the operation and maintenance phase of the building sector [11][12][13][14][15][16][17][18][19][20]. In short, this study implements the concept of ''dynamic approach'' for monitoring, diagnosing, and retrofitting the building's energy performance in the operation and maintenance phase of the building sector, which aims to reflect the unexpected changes in the climate and energy environments as well as in the energy policies and technologies under the new paradigm of an ''Urban Organism''.…”