The capacity of the grid must rise to integrate volatile renewable sources into the energy supply. By using existing lines better depending on weather conditions, the need for new lines can be reduced. For this purpose, Karlsruhe Institute of Technology (KIT) researchers are developing self-learning sensor networks to model weather cooling based on real data. The power transmission of the line can be improved in favorable conditions.

The rapid expansion of the use of renewables–northern wind power, southern photovoltaic power–and the growing international trade in energy are leading to increasing energy transmission grid requirements. The current grid infrastructure must be expanded considerably to carry power from producers to consumers, stop a temporary shutdown of power-generating plants from regenerative sources, especially at a high wind intensity and make sure high security of supply in general. This is linked to long-term licensing and high costs. Read More…

Source: Artificial Intelligence on Medium