The research integrates a wide range of methodologies—spanning Artificial Intelligence and Parametric Modelling—to solve complex problems in energy consumption and spatial design
The use of new synthetic data has significantly improved the performance of our Machine Learning (ML) model in predicting solar radiation. In the previous test, the mean distance between the predicted and actual measurements was ~23.70. After incorporating new synthetic data and adjusting the feat...
Incident solar radiation, building energy consumption, and other environmental analyses often rely on expensive and computationally-intensive simulations. These energy consumption forecasts are based on digital 3D models that represent building physical properties and are generated through thermodyn...
Synthetic Data is data artificially created in contrast to data collected from real-world events. The goal is to provide a fast and cheap alternative to real-world data to create accurate Artificial Intelligent models. For this study, an incident solar radiation simulation is executed automaticall...
The planet Earth is composed of living creatures as well as non-living elements like rocks, water, air, etc. All parts are connected and interact with each other. There are many ways of interaction, and many of these interactions are critical for survival. For example, one category of interaction is...
An Innsbruck-based museum contacted us to optimize the distribution of 3,299 paintings in their new storage facilities located outside the city. The storage space consists of an array of double-sided, movable metal grid walls. The museum seeks to optimize the arrangement of paintings on the walls to...
One of the main problems in the AEC industry is HVAC consumption in buildings. The reasons for reducing energy consumption vary. There are clear economic reasons, as a good energy consumption strategy could lead to reduced energy costs and impact financial savings for consumers. Reducing energy use...
Genetic algorithms perform highly efficiently when all the parameters are connected, and it is not possible to maximize one value without affecting the others. For this experiment, a GA is used as a design exploration tool. A binary list 1,0,1,0,0,0,1 represents a series of cubes stacked together...
This experiment uses generative components as a parametric modeling software and Microsoft Excel to evaluate and optimize a steel truss. The objective consists in reducing the total steel weight in the truss.
The problem is simple. It is necessary to modify the position of some truss joints (nodes...