Regression prediction for HVAC unit Best way to utilize available data?
I am starting to investigate machine learning applications for HVAC at the commercial level. I am an HVAC controls person by trade that has recently taken some basic courses on Machine learning and Data science. 650
I have a large (large for HVAC systems, anyhow) amount of data available and now i'm trying to figure out what the best way to try and utilize it is.
Ultimately What i want to do is predict performance for a period of time. i am unsure what period of time would be the most appropriate, but, i'm thinking probably in the range of 15 mins to an hour is about all i can expect reasonably.
To that end, I am doing some exploratory data analysis - I re-arranged the original raw data into a time series and then sorted it chronologically.
i have 35 unique data points in this data set - here is a sample of what it currently looks like:
TimeStamp Point Name Value
4/13/2020 12:59 HVAC 3.CoolingCoilGPM 2
4/13/2020 22:03 HVAC 3.CoolingCoilGPM 2
4/15/2020 16:06 HVAC 3.CoolingCoilGPM 2
4/16/2020 16:00 HVAC 3.CoolingCoilGPM 2
4/16/2020 16:15 HVAC 3.CoolingCoilGPM 2
4/16/2020 17:34 HVAC 3.CoolingCoilGPM 2
4/16/2020 17:46 HVAC 3.CoolingCoilGPM 2
4/17/2020 13:36 HVAC 3.RETURN_AIR 70.23748
4/17/2020 13:36 HVAC 3.DISCH_AIR 56.54999
4/17/2020 13:36 HVAC 3.MIXED_AIR 53.00623
4/17/2020 13:36 HVAC 3.CLG_COIL 54.34374
4/17/2020 13:36 HVAC 3.FB_DAMPER 2
4/17/2020 13:36 HVAC 3.CLG_VALVE 1
4/17/2020 13:36 HVAC 3.HTG_VALVE 10
4/17/2020 13:36 HVAC 3.CHW_COIL_DELTA 9.686241
4/17/2020 13:36 HVAC 3.OA_TEMP 32.55227
4/17/2020 13:36 HVAC 3.CHW_DELTA_LOOPOUT 14
4/17/2020 13:36 HVAC 3.TOD 1
4/17/2020 13:36 HVAC 3.RFAN 1
4/17/2020 13:36 HVAC 3.SFAN 1
4/17/2020 13:36 HVAC 3.ST_DISCH <PHONE_NUMBER>
4/17/2020 13:36 HVAC 3.RH_RETURN 31.23749
4/17/2020 13:36 HVAC 3.ST_DUCT <PHONE_NUMBER>
4/17/2020 13:36 HVAC 3.HTG_COIL 52.89374
4/17/2020 13:36 HVAC 3.SFAN_COMMAND 4.642393
4/17/2020 13:36 HVAC 3.RFAN_COMMAND 2.685749
4/17/2020 13:36 HVAC 3.RA_DAMPER 2.195717
4/17/2020 13:36 HVAC 3.SA_FLOW 13.19481
4/17/2020 13:40 HVAC 3.RA_FLOW 9.834915
4/17/2020 13:42 HVAC 3.RH_VALVE 8.922806
4/17/2020 13:50 HVAC 3.DISCH_AIR 55.31249
4/17/2020 13:50 HVAC 3.CoolingSensibleHeatChange <PHONE_NUMBER>
So - I thought this was a great idea, until i looked at the top few rows, and i realize that i need to have these individual points as features, not all in one column like this.
Then i realized that the biggest question, really, is what my target should be. i'm not sure if anyone on here has any experience in this area - so i thought i'd throw my thoughts out there and see if i can get any advice. 60