Incident Solar Radiation Prediction Revisited

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.... more...

Incident Solar Radiation Prediction

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... more...

Synthetic data with Rhino-Grasshopper, Ladybug and Laga library

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... more...

Machine Learning for AEC to Tackle Climate Change

The AEC industry plays a key role in climate change. According to the latest IPCC report (chapter 6) cities are generating about 70% of global CO2-eq emissions. This contribution impact negatively to people, infrastructure, and business due to the hazards related with the climate change. In addition... more...

Physics notes for the broken balance of 4.5 billion years

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... more...

The Perfect Battle with Reinforcement Learning

Firefighters and arsonists are trained to control the fire in a virtual environment. The arsonists agents, patrol the environment to keep away spots fires from the firefighters. Arsonist agents can freeze firefighter agents for few seconds to stop them extinguish the spot fires. Contrary, the firefi... more...

Understanding Business in Stadium Design with ML

Understanding the competition brief, the Request For Proposal (RFP) or any demand from your client is essential to provide the best service. In the other hand, understanding your competitors offer will help your business to bring value to the market through your products and/or services. We need t... more...

Optimization methods

Optimization is a mathematical technique to find the values ​​in variables to minimize or maximize an objective function. The variables, most probably respond to constraints. Mathematical optimization (alternatively spelt optimisation) or mathematical programming is the selection of a best element... more...

Workshops in Digital Design Process

The learning process is a never-ending loop and we are constantly researching in technologies and emergent process to apply in our work. The education is essential in our mission and it's embedded in every project we do. Designemergente have been teaching / conducting for many years workshops in... more...

Optimal Painting Distribution for Museum Storage

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... more...