Artificial Intelligence RES Forecasting Based on Weather Data Time

This paper presents a research for the modeling of the energy generation of RES power plants (a real life HPP and PV power plant) with Artificial intelligence methods – Machine Learning and Deep Learning methods. The used parameters for both power plants are weather data recordings - solar insolation, ambient temperature, module temperature, wind speed and additional parameters for HPP which include humidity, atmospheric pressure, rain rate and others.