Wind and SOLAR RES predicted production data for Crete and Peloponnese - ONENET WP8

WP8 aimed at the development and implementation of a web based app that enhances Active Power Management necessary for coordination of a TSOs and DSOs, using AI methods and cloud calculation engines that was tested in Peloponnese and Crete regions. Full description of the scope and results of WP8 Greek demo can be found in the relative deliverable D8.2: Development and implementation of the “F-Channel” platform (https://www.onenet-project.eu//wp-content/uploads/2023/10/OneNet_D8.2_V1.0.pdf). For purpose of this project similar, historical weather data in 1 hour resolution have been used in order to obtain behavior patterns of climatic parameters (daily, monthly, season) throughout region of interest. For this purpose various ERA5 climatic datasets has been used and AI algorithms applied in combination with terrain orography data. Modeled results was compared with operational data from TSO/DSO and appropriate model calibration has been provided based on deep learning AI algorithms.

The data for Wind power plant modelled production is given in file in the following columns ; ; ; ; . Columns are related to: Hourly time, wind park code, power [MWh], wind speed [m/s] and wind park name, respectively.

The data for Solar power plant modelled production is given in file in the following columns ; ; ; ; . Columns are related to: Hourly time, solar park name, power in MWh, ambient temperature and Global Horizontal irradiance [W/m2], respectively.