yuhao-nie / stanford-solar-forecasting-dataset Goto Github PK
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License: MIT License
Stanford sky images and PV power generation dataset for solar forecasting related research and applications
License: MIT License
Thanks for your great work. However, I have some trobule when I try to reproduce the SUNSET-forecast model. I cann't find the file 'forecast_dataset.h5py' for this model. I also cannot find the files 'all_times_highfreq.npy' 'all_images_highfreq.npy' and 'pv_output_valid.pkl'. How can I get these files?
H @yuhao-nie and @ascott-20, in your paper table 5.1 you evaluate your models separately on cloudy and sunny days. However, this information is not natively included in your dataset to be downloaded. There is information in the preprocessing jupyter notebooks about cloudy and sunny days. However, when I do the following for the forecast task:
sunny_day = [(2017,9,15),(2017,10,6),(2017,10,22),(2018,2,16),(2018,6,12),(2018,6,23),(2019,1,25),(2019,6,23),(2019,7,14),(2019,10,14)]
cloudy_day = [(2017,6,24),(2017,9,20),(2017,10,11),(2018,1,25),(2018,3,9),(2018,10,4),(2019,5,27),(2019,6,28),(2019,8,10),(2019,10,19)]
sunny_datetime = [datetime.datetime(day[0],day[1],day[2]) for day in sunny_day]
cloudy_datetime = [datetime.datetime(day[0],day[1],day[2]) for day in cloudy_day]
arr = np.load("times_test_forecast.npy", allow_pickle=True)
date_arr = [val.date() for val in arr]
sunny_arr = [val.date() for val in sunny_datetime]
cloudy_arr = [val.date() for val in cloudy_datetime]
print(set(date_arr).intersection(set(sunny_arr)))
print(set(date_arr).intersection(set(cloudy_arr)))
The intersection with test forecasting dates and sunny dates is empty, suggesting there are no sunny test dates, only cloudy ones. However, you are reporting values for those in your paper.
For the nowcasting task, the above snippet yields, that the number of cloudy and sunny examples is about equal which is to be expected I guess. Could you help me out what I am missing?
Edit:
The times_test_forecast.npy
file is generated from running my script in #3
How can I use these models in a nowcast context for cloud type classification?
Hello, I would like to ask if you have used the Hikvision DS-2CD6362F-IV2, a 6-megapixel camera, in your paper. However, in my country, it seems that only 5-megapixel cameras are available,Hikvision DS-zXA3956F.Can I use the data captured by such a camera with your code?Can it withstand outdoor environments?
Dataset Paper | Benchmark Dataset Repository | Raw Dataset Repository
this 3 doesn't work.
Do I need to contact who to access ?
Do outsider have right to access or not?
Now I'm interest for using the cloud image to make a solar forecast project too. :)
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