The parametric module on BuildSim Cloud is now equipped with Monte Carlo method! Monte Carlo method is a broad class of computational algorithms that discover numerical results through repeated samplings from inputs. It is often used in the modeling field for uncertainty analysis, design optimization and ML training. The algorithms behind Monte Carlo method is the Latin Hypercube sampling. This sampling can effectively reduce the number of samples required for target value es

A simulation generates tons of data - .err, .mid, .eso, .html, .csv... Each file contains a different set of data. People use BuildSim Cloud for simulation in a different way, and so does the data requirements. In BuildSim, we are constantly updating our data retrieval capabilities to satisfy your needs. Below I listed the functions that you can use to retrieve various kind of data. First of all, lets do a simulation: Once the simulation is completed, we will receive a result

Visualization is critical for most of the energy modelers. We know the equations and how things work together, but without a useful tool to deliver our knowledge to our clients, all the hard work is in vain. Therefore, data visualization is always part of the mission in the development of BuildSim API library. The BuildSim API library is an open-source, Python-based library that helps modelers to build up automated modeling workflows, saving time and cost for their business.