Built Stock Explorer

Built Stock Explorer is a web-instrument that facilitates some applications of statistical inference and modelling to learn about energy use in the (Norwegian) built environment. This is a humble contribution to ongoing research on Energy Epidemiology.

Some of the relevant questions that the app can answer are:

• How much energy is used in buildings of a certain type, location, size or age?
• What is the probability distribution of data that describes building energy use? And how well are theoretical distribution functions, e.g. normal, suited for modelling this phenomenon?
• Are there any tendencies for buildings to form groups based on relevant variables and technical parameters?
• Can we, knowing the relevant variables and parameters, and by means of modern modelling techniques, accurately predict building energy use?

I have developed this instrument to let anyone interested see and interact with the available research data using some of the applicable analytical methods. Multiple linear regression in a three-dimensional plot (illustrated below) is one of such.

But there more, check out the app!