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://yeswellneses.shop/product-category/krill-oil/