I am new to R. I am analyzing export Wh, data for my project.
Original csv file (org_data.csv) that I m analyzing can be found in this link:
In the original csv file, there are 1,584,823 total records, with 157 meters.
Recorded from 1-Oct-2015 00:00:00 to 31-Mar-2016 23:59:59
In the csv file, there are three columns: local minutes, dataID, meter_value.
- Local minutes is formatted with “yyyy-mm-dd hh:mm:ss-UTC
- dataID represents the ID number for each 157 meter,
- meter_value represents the export Wh
Quick view of original csv file, as below:
I have done plotting the existing data of all the 157 meters using facelet
But I stuck in writing algorithm for predicting export Wh of all 157meters (From 01 Apr 2016 00:00:00 to 31Dec2016 11:59:59).
May I know how should I develop forecasting model for all 157 meters, with this UTC time offset?
As i have to submit this prediction algorithm by 20-Oct-2018. I am grateful if you guys help me.