Timeline for Removing thermosensitive part of time-series
Current License: CC BY-SA 3.0
10 events
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Nov 18, 2016 at 11:10 | history | edited | SdaliM | CC BY-SA 3.0 |
Change thermosensible into thermosensitive
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Nov 14, 2016 at 19:39 | comment | added | whuber♦ | Since the data appear to be (at least) hourly, heating and cooling degree-days will not be sufficiently granular to do much good. Ideally, you are trying to estimate (and remove) the response of the building HVAC machinery to outside temperatures (as well as to other factors like the number of occupants). That response will be nonlinear and even non-monotonic. Although many techniques exist to handle such general responses, you might make a good start by choosing functions that are compatible with physical theory, as described at stats.stackexchange.com/a/148166. | |
Nov 14, 2016 at 19:26 | answer | added | IrishStat | timeline score: 0 | |
Nov 14, 2016 at 17:38 | comment | added | SdaliM | @gung : Yes, this is what I meant to say. | |
Nov 14, 2016 at 17:07 | comment | added | gung - Reinstate Monica | So is the idea here that you have energy consumption for a building over time, & you want to estimate how much energy is used to, say, keep the lights on, vs how much is used to run the air conditioning? | |
Nov 14, 2016 at 17:04 | comment | added | whuber♦ | @gung In Romance languages "sensible" means sensitive. Thus we should understand this to be a question about removing the temperature-related effects of electricity consumption from what appears to be a very fine-grained time series. | |
Nov 14, 2016 at 17:03 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
edited for English
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Nov 14, 2016 at 17:01 | comment | added | gung - Reinstate Monica | I'm having trouble following this. What is the "thermosensible part" of the data? Can you give some simple example numbers that illustrate what you want to do? | |
Nov 14, 2016 at 16:58 | review | First posts | |||
Nov 14, 2016 at 17:03 | |||||
Nov 14, 2016 at 16:56 | history | asked | SdaliM | CC BY-SA 3.0 |