ProLoaF: Probabilistic load forecasting for power systems

Today, the energy supply does not follow demand in a controlled manner anymore. Thus, forecasting electricity consumption became essential for operation of power systems. Already numerous open source software tools exist that provide models, which are configurable different tasks. In case electrical demand, change geographical or temporal settings, requires specific domain knowledge on relevant data and influencing factors to be considered when developing data-driven models. With ProLoaF, we propose holistic machine-learning based project, offers developer continuous deployment reliable forecasts system domain. ProLoaF serves probabilistic electric non-controllable generation future operation. By overlapping Machine Learning (ML), DevOps systems engineering disciplines, aim accelerate model development by reducing consultation work between experts.