I have two datasets that relate to each other. The first dataset consists of images on one column and the time stamp and voltage level at that time. the second dataset is the weather forecast, solar irradiance, and other features ( 10+). the data provided is for each 30 mins of each day for 3 years, while the images are pictures of the sky for each minute of the day. I need help to direct me to the way that I should combine these datasets into one and then later train it with a machine\/deep learning-based model analysis where the output is the forecast of the voltage level based on the features. <\/p>\n
In my previous experiences, I never dealt with Time Series datasets so I am asking about the correct way to do this, any recommendations are appreciated.<\/p>\n<\/div>\n
submitted by \/u\/throw55500m <\/a>
[link]<\/a><\/span> [comments]<\/a><\/span><\/p>
