HOW IS ARTIFICIAL INTELLIGENCE (AI) REVOLUTIONIZING THE RENEWABLE ENERGY SECTOR?

As the energy transition accelerates, the capacity offered by AI to sustainably integrate a huge increase in renewable energy (intermittent solar and wind energy) will be needed to ensure a stable grid and reliable.

Predictions of the basic variables (wind speed and overall horizontal irradiance, as well as the resulting power output) provide a view over a range of time horizons, minutes and hours in advance, to maintain network stability and distribute resources.

To achieve this, the artificial neural network and the retropropagation neural network are applied separately in the modeling of wind speed prediction in wind power applications, on the other hand, the genetic algorithm is preferred. to predict solar energy.

In addition, fuzzy logic which is one of the techniques used in AI is useful to implement the control system to ensure increased asset management and excellent operability through automation (IoT) and SMART GRID.