Seasonality is a major factor for energy providers, with peaks around cold winters and hot summers. Nexoya’s algorithms automatically detect seasonal trends and adapt recommendations dynamically. These seasonal effects are built into forecasting and scenario simulations, so predictions already reflect expected winter demand changes. During the season, real-time performance continuously updates the models, allowing Nexoya to adjust recommendations if demand increases or decreases faster than expected.