Optimal solutions to design problems through Artificial Intelligence
New synthetic data informed the ML model to improve the prediction results by half. In the previous test the mean distance between prediction and real measure was ~23.70. Now the distance was reduced to ~8.25.
One of the main advantages of synthetic data is that can be moulded to the problem....
Incident solar radiation, Buildings energy consumption, and other environmental analysis are based on expensive computational simulations. The building energy consumption forecast relies on environmental simulations and digital 3D models that represents the building physics properties. Typically, th...
Synthetic Data is data artificially created in contrast of 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 automatically...
The planet Earth is composed by 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, contact us to optimize the distribution of 3,299 paintings into their new storage facilities outside the city. The storage space is composed by an array of double side movable metal grid walls. The museum wants to optimize the painting arrange distribution on the walls to...
One of the main problems in the AEC industry is the HVAC consumption in buildings. The reasons varies why it is necessary reduce the energy consumption. There are clear economic reasons, because a good energy consumption strategy could drive in reduce energy costs and impact in financial cost saving...