As for the RES generation, knowing in advance the future electricity load can provide a huge advantage in the management of the grid.

In fact, short-term load forecasting is fundamental in the day-to-day operations, unit commitment and the scheduling functions.

The MG2Lab Loads forecast performed by means of Computational Intelligence techniques (Deep learning such as LSTM, Bi-LSTM) is a key point for estimating the expected baseline in the microgrid.

Load forecast by means of Deep Neural Network algorithms