IF statement or MACRO? Time series math help

[Benny3]

Hi,

I have a time series data set (see table below for example) where I need to add up a column (F:kWh_calc) for just one days worth of data. The data set is years worth of electrical demand interval data and its all at random time stamp intervals that average about every 15 minutes for a recording.

My previous data sets where exact time intervals where I could just use a function to look at the time stamp, and if there was a difference in the 'days,' the function would simply add up the previous 96 rows of data. (96 rows on exactly 15 minute intervals = 1 days data) Ultimately I would then use the filter function in excel to create to create a set of data of the F:kWh_calc. (kilowatts of electricity consumed in one day)

Would anyone know how I can improve this function where I could add up values in a column for just one days worth of data regardless if the time stamps are at different intervals? Columns labeled Month, Weekday, Year, Hour, and Weeknumber are just simple Excel functions to return a value based on Column A:Time.

This function however based on adding up the 96 cells wont work, would anyone know how make it better? Ideally if I was really good at writing code I could create a macro to output the data I want on a separate tab with time stamp for the date of total kWh_calc per day.

=IF(H2<>H3,SUM(F2:F97),"")

	A	B	C	D	E	F	G	H	I	J	K	L
1	time	OAT	kW	Minutes_calc	HOUR_calc	kWh_calc	Month	Weeday	Year	Hour	Weeknumber	Holiday
2	6/17/2016 5:00 <tbody> </tbody>	59.9 <tbody> </tbody>	31 <tbody> </tbody>	15	.25	7.75	6	6	2016	5	25	1
3	6/17/2016 5:15 <tbody> </tbody>	59.9 <tbody> </tbody>	29.2 <tbody> </tbody>	15	.25	7.3	6	6	2016	5	25	1
4	6/17/2016 5:30 <tbody> </tbody>	59.9 <tbody> </tbody>	28.8	5	.0833	2.4	6	6	2016	5	25	1
5	6/17/2016 5:35 <tbody> </tbody>	59.2 <tbody> </tbody>	28.8	10	.1667	4.8	6	6	2016	5	25	1
6	6/17/2016 5:45 <tbody> </tbody>	59.2 <tbody> </tbody>	29.8	10	.1667	4.967	6	6	2016	5	25	1
7	6/17/2016 5:55 <tbody> </tbody>	59.7 <tbody> </tbody>	28.8	5	.0833	2.483	6	6	2016	5	25	1
8	6/17/2016 6:00 <tbody> </tbody>	59.7 <tbody> </tbody>	28.4	15	.25	7.2	6	6	2016	5	25	1
9	6/17/2016 6:15 <tbody> </tbody>	58.6 <tbody> </tbody>	28.4	15	.25	7.1	6	6	2016	5	25	1

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Thank you for your time-!