Gates Building Energy Use
Raw Data |
Raw DataThe raw data used by the visualisation tool is directly available for download at http://www.cl.cam.ac.uk/meters/elec/. In addition, the raw data for fridge monitoring can be found at http://www.cl.cam.ac.uk/meters/fridge/. Directory StructureThe data is organised in a structure which mimics the electricity distribution tree within the building. A given directory may have data files and/or subdirectories - for example: "http://www.cl.cam.ac.uk/meters/elec/primary-cs1-riser/F-lighting/" is a directory that contains the readings for the lighting circuit on the first floor that comes off the CS1 riser. File NamesCurrently there are 2 types of data files, one with 2 minute time series (one per day) and one with hourly time series (one per month):
For example, "S-m23-2011-05-01.json" would be the 2 minute series of meter S-m23 for the 1st of May 2001, and "S-m19-2011-07-22.json" would be the 1 hour series of meter S-m19 on the 22nd of July 2011. Data FormatThe data files are in JavaScript Object Notation (JSON). This is so that the files can be easily manipulated in JavaScript - indeed our visualisation tools are built on top of JavaScript packages that do most of the heavy lifting. You can find demo code to help you get started if you want to perform any analysis of the data here (Or you can always look at the source of the tool itself - after all you download it when you run it...) Each file contains key-value pairs for identifying the data. The "data" value is time series of energy readings from the meter, presented as an array of [time stamp, power] pairs. The power is the average (in kilowatts) over the interval for the time stamp. The timestamps are milliseconds since the unix epoch (1 Jan 1970). More keys will be added in the future. Current keys include:
We frequently regenerate the published data from the real raw data so new keys will be added to old time series, (and old ones may disappear - although at some point we will commit to backwards compatibility). |