Building Activity Profiling: Explainable and Predictive Modeling for Building Automation. Abstract: We propose a technique to model the activities in a building, which we call Building Activity Profiling (BAP). BAP is modeled using a hybrid system composed of continuous time-series data and discrete series of states.
In this paper, we propose Building Activity Profiling. (BAP), a method for estimating potential conditions of a building using a statistical technique involving ...
The authors created rules for the calculation of the window-to-wall ratio to assist in the design process of building envelopes in different climate zones.
We propose a technique to model the activities in a building, which we call Building Activity Profiling (BAP). BAP is modeled using a hybrid system composed ...
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Building activity profiling: explainable and predictive modeling for building automation. Proceedings of the international conference on artificial ...
Aug 27, 2024 · This research develops a predictive model for GB design using machine learning to minimize energy consumption and improve indoor sustainability.
Nov 15, 2023 · This study proposes a reformulation of the Time Of Week and Temperature modelling approach. This approach is able to separate the energy consumption dependence ...
Predictive modeling is a statistical technique used to predict the outcome of future events based on historical data.
Duration: 57:04
Posted: Apr 10, 2014
Posted: Apr 10, 2014
Missing: Activity Explainable Automation.
Apr 4, 2024 · PCA compares variables to each other, not to the output · PCA extracts linear combinations of the variables that help explain the variability, as ...