Given Training data of an organisation meter reading recorded at an interval of 15 minutes each day .Like for some N days we will be provided with data.
And Now with help of this data we need to tell that on a particular day an organisation is closed or open . I need to know if any link can help in this matter if someone has worked into this field.
By closed I mean that on that day consumption of electricity will obviously be almost constant,Though this is just a single feature to take into account.
So how to predict this in best way ?
Maybe the use of threshold not suit well for different kind of organisation, but for sure there are a minimum consumption. Maybe you would like to use the information of past 15 minutes to increase your reliability. Adding one more input to your classifier.