A successful green transition hinges on the integration of renewable energy sources into the power grid.
However, solar power, wind power and hydropower are vulnerable to microclimatic conditions. Their generation capacity varies based on the weather. It is this variability that makes renewable energy sources difficult to integrate. In this context, the EU-funded RESPONDENT project will address these challenges by developing AI and machine learning power generation and demand forecasting algorithms. In addition to renewable energy power conversion models, the project will consider weather data from space (Copernicus Earth observation), site-specific weather data and multiphysics models. Additionally, RESPONDENT will build Galileo-enabled phasor measurement units to measure the electrical signals of the grid in a precise and synchronised way.
Find more information: https://respondent-project.eu/