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://vcsgtfwdiwdzb.timeblog.net/70688205/covid-19-döneminde-e-Şikâyet-yönetimi-perspektifinden-müşterilerin-Çevrimiçi-alışverişte-karşılaştıkları-sorunlar