Title :
Automatic PV production profile generation using geographic and historical weather data
Author :
Vonk, B.M.J. ; Gibescu, Madeleine ; Veldman, Else ; Slootweg, J.G.
Abstract :
This paper introduces on a probabilistic model to automatically generate photovoltaic production profiles for a given geographical region and future scenarios for deployment of renewable energy resources. The model for these profiles uses local properties of buildings, demographic statistics, and historical weather data. Sub-models are calibrated with actual PV data from a smart grid pilot site in the Netherlands and literature based scenarios. It is shown that the model performs adequately and the results are compared with historical data of photovoltaic installations.
Keywords :
neural nets; photovoltaic power systems; power engineering computing; probability; smart power grids; Netherlands; automatic PV production profile generation; building local properties; demographic statistics; geographic weather data; historical weather data; photovoltaic installations; probabilistic model; renewable energy resources; smart grid pilot site; Artificial neural networks; Buildings; Data models; Databases; Mathematical model; Meteorology; Probabilistic logic; GIS; Smart grid; neural network; photovoltaics;
Conference_Titel :
Power Engineering Conference (UPEC), 2014 49th International Universities
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4799-6556-4
DOI :
10.1109/UPEC.2014.6934668
