ChangePoint Detection

[sssaha]

I am trying to use the following code to detect changepoints - preferably range changepoints for my application.

estimator = Prophet(yearly_seasonality=True)
df = pd.read_feather(...)
df = df.rename({'Timestamp':"ds","Feeder B_MW":"y"},axis=1)
estimator.fit(df)
print(estimator.changepoints)

The estimated changepoints look like this

280 2021-01-12 16:00:00
561 2021-01-24 09:00:00
841 2021-02-05 01:00:00
1121 2021-02-16 17:00:00
1401 2021-02-28 09:00:00
1682 2021-03-12 02:00:00
1962 2021-03-23 19:00:00
2242 2021-04-04 11:00:00
2523 2021-04-16 04:00:00
2803 2021-04-27 20:00:00
3083 2021-05-09 12:00:00
3363 2021-05-21 04:00:00
3644 2021-06-01 21:00:00
3924 2021-06-13 13:00:00
4204 2021-06-25 05:00:00
4484 2021-07-06 21:00:00
4765 2021-07-18 14:00:00
5045 2021-07-30 06:00:00
5325 2021-08-10 22:00:00
5606 2021-08-22 15:00:00
5886 2021-09-03 07:00:00
6166 2021-09-14 23:00:00
6446 2021-09-26 15:00:00
6727 2021-10-08 08:00:00
7007 2021-10-20 00:00:00

which is not even close o the clear 8 changepoints in the actual data

Is it even possible using Prophet? Or I am missing something?