I am interested in using the photovoltaic power station prediction model from this project for a web application I am building on .NET. I would like to request instructions on how to deploy the model and integrate it with my server.
To give some context, my goal is to create a web page where I can input weather features and receive a prediction for the hourly power production of a photovoltaic power station. I am not familiar with Python and would appreciate assistance in getting this set up.
From the project's Readme.md file, I understand that the model is divided into three parts: data pre-processing, feature selection, and machine learning. Could you please provide guidance on how to deploy each of these parts and how to bind the model with my server?
Hi there,
I am interested in using the photovoltaic power station prediction model from this project for a web application I am building on .NET. I would like to request instructions on how to deploy the model and integrate it with my server.
To give some context, my goal is to create a web page where I can input weather features and receive a prediction for the hourly power production of a photovoltaic power station. I am not familiar with Python and would appreciate assistance in getting this set up.
From the project's Readme.md file, I understand that the model is divided into three parts: data pre-processing, feature selection, and machine learning. Could you please provide guidance on how to deploy each of these parts and how to bind the model with my server?
Thank you for your time and assistance.
Best regards, Oliver Valiente Oliva