Hi to everyone!
In my specific research (energy efficiency potential of envelope constructions) I’d like to make tuning of the model based on fuzzy logic. For this purpose, as far as I know, it is vital to have at least two sets of data: so-called the learn set for model learning procedure and the test set for fine-tuning. To solve this problem, I see two possible ways – to prepare my own sets of data (For instance by modelling the building energy performance in ArchiCAD Energy Star tool for energy performance modelling. Unfortunately, there weak feedback with the developers of this application (it isn’t an ArchiCAD product, as far as I know).
So, there is a lot of incorrectness in BEM modelling by ArchiCAD. It is very pity fact for me. From the other hand, I have heard of such software as Rhino which could be connected with Grasshopper, HoneyBee through the link with ArchiCAD. The main point here is to learn this soft, which should take a lot of time and efforts…
I suppose there are the possible, real ways to obtain the desired dataset (for me it is essential to know what the energy demand per 1m2/1m3 of conditioned/whole volume of the building [kW/m2year] as a target function from influence factors (such as orientation, the form of the building, materials of the wall assembly, etc.).
The second way is to find similar data in Google Data set. I find such data as:
https://archive.ics.uci.edu/ml/datasets/Energy+efficiency
https://datasetsearch.research.google.com/search?hl=en&query=envelope%20energy%20efficiency&docid=7%2F7RSzAoG5NfqAhcAAAAAA%3D%3D
I deeply convinced and still believe, that something similar and even more specific for my task, obviously yet done, could be found on the web. So my question is:
What data sets/origins could you advise me for my research according to the abovementioned?
I'll be very grateful for any idea or advice related to the problem solution.
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