Thank you Dr Setareh for making this video. I'm a graduate of chemical engineering, I've heard an interest in data science since my first year of university especially how data can be used to build predictive systems but I always felt it was far different from what I was learning in Chemical Engineering. After watching this, I feel encouraged to take a slightly different path from the conventional Process Engineer. I'm nolonger afraid to learn new things and to make out my own path 😊.
I'm curious, shouldn't there be a fairly straightforward linear relationship between global irradiance and the produced energy? Or maybe you have to consider diffuse and direct irradiance seperately, but still. I'd expect to produce the best results with simple linear regression, provided you have access to a forecast of the irradiance. But that's acailable via GFS or others, isn't it?
There are some data banks. I recommend you looking for one the size you want, ie, at regional, national or international level. You should easily find it in scientific magazines related to forecast and renewable energies, or even in masters/doctors scientific productions. In brazil, for example, I use forecast data from and measured data from in a project to estimate the quality of daily forecast photovoltaic production.
Thank you Dr Setareh for making this video. I'm a graduate of chemical engineering, I've heard an interest in data science since my first year of university especially how data can be used to build predictive systems but I always felt it was far different from what I was learning in Chemical Engineering. After watching this, I feel encouraged to take a slightly different path from the conventional Process Engineer. I'm nolonger afraid to learn new things and to make out my own path 😊.
that's awesome! I'm following your steps too!, I want to apply big data and machine learning to renewables :)
You did it?
you did apply for that ?
Well done Setareh, proud of you.
I'm curious, shouldn't there be a fairly straightforward linear relationship between global irradiance and the produced energy? Or maybe you have to consider diffuse and direct irradiance seperately, but still. I'd expect to produce the best results with simple linear regression, provided you have access to a forecast of the irradiance. But that's acailable via GFS or others, isn't it?
The forecast is for the next 24h, 48h, or 72h? because is a huge difference
I am doing MSc Mathematical Statistics and my research is focused on this, how can I connect with you?
same iam doing my mphill in mathematics and working for same idea
The most important takeaway:
I learned how to learn!
Thanks a lot!
موفق باشید،
It will be a great help if you guide me through out the process of applying AI into renewable
I also want to work on this
Just aply it.
great job Setareh may you also help me do that please
how to collect real data of solar radiation
There are some data banks. I recommend you looking for one the size you want, ie, at regional, national or international level. You should easily find it in scientific magazines related to forecast and renewable energies, or even in masters/doctors scientific productions.
In brazil, for example, I use forecast data from and measured data from in a project to estimate the quality of daily forecast photovoltaic production.
I am PhD student how can I connect you
Hello ma'am I need your help