Probabilistic forecasts of electrical loads and photovoltaic generation provide a family of methods able to incorporate uncertainty estimations in predictions. This paper aims to extend the literature on these methods by proposing a novel deep-learning model based on a mixture of convolutional neural networks. transformer models and dynamic Bayesian networks. Further. https://www.ealisboa.com/best-grab-Chocolate-Chip-Cookie-Purse-Spray-mega-super/