Due to the shift of power production from highly centralised power plants to decentralised power production with renewable energy, the role of local distribution networks has changed. Originally, these networks were designed to distribute electric power from a centralised source to consumers. However, nowadays, the increasing number of climate-dependent decentralised energy production systems connected to local distribution networks, such as photovoltaics, affect the network stability. Thus, network operators need decision support methodology in order to cope with the network uncertainty. As a central part of the decision support system, climate-dependent forecast for feed-in power is required with high spatial resolution. In this paper, a method for the prediction of feed-in power production from photovoltaics, based on georeferenced power production and meteorological data is introduced.     «

Due to the shift of power production from highly centralised power plants to decentralised power production with renewable energy, the role of local distribution networks has changed. Originally, these networks were designed to distribute electric power from a centralised source to consumers. However, nowadays, the increasing number of climate-dependent decentralised energy production systems connected to local distribution networks, such as photovoltaics, affect the network stability. Thus, net...     »