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Elke Lorenz

Researcher at University of Oldenburg

Publications -  65
Citations -  4467

Elke Lorenz is an academic researcher from University of Oldenburg. The author has contributed to research in topics: Solar irradiance & Photovoltaic system. The author has an hindex of 29, co-authored 63 publications receiving 3803 citations. Previous affiliations of Elke Lorenz include Fraunhofer Society.

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Irradiance Forecasting for the Power Prediction of Grid-Connected Photovoltaic Systems

TL;DR: An approach to predict regional PV power output based on forecasts up to three days ahead provided by the European Centre for Medium-Range Weather Forecasts (ECMWF) and an approach to derive weather specific prediction intervals for irradiance forecasts are presented.
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Solar energy assessment using remote sensing technologies

TL;DR: In this article, the HELIOSAT method applied to derive surface solar irradiance from satellite images is described and shown examples of applications: the use of daylight in buildings, the generation of correlated time series of solar irradiances and temperature as input data for simulations of solar energy systems and a short-term forecast of sun irradiance which can be used in intelligent building control techniques.
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Comparison of numerical weather prediction solar irradiance forecasts in the US, Canada and Europe

TL;DR: In this article, three independent validations of global horizontal irradiance (GHI) multi-day forecast models were conducted in the US, Canada and Europe, and two models are common to the three validation efforts: the ECMWF global model and the GFS-driven WRF mesoscale model.
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Short-term forecasting of solar radiation: a statistical approach using satellite data

TL;DR: In this paper, the authors use satellite images as a data source for short-term forecasting of solar irradiance, which is an important issue for many fields of solar energy applications.
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Regional PV power prediction for improved grid integration

TL;DR: A modified up-scaling approach is introduced, modelling the spatial distribution of the nominal power with a resolution of 1° × 1°, which is based on forecasts of the global model of the European Centre for Medium-Range Forecasts (ECMWF).