Reference
J. Lago, K. De Brabandere, F. De Ridder, and B. De Schutter, "A generalized
model for short-term forecasting of solar irradiance,"
Proceedings of the 57th IEEE Conference on Decision and
Control, Miami Beach, Florida, pp. 3165-3170, Dec. 2018.
Abstract
In recent years, as the share of solar power in the electrical grid has been
increasing, accurate methods for forecasting solar irradiance have become
necessary to manage the electrical grid. More specifically, as solar generators
are geographically dispersed, it is very important to have general models that
can predict solar irradiance without the need of ground data. In this paper, we
propose a novel technique that can accomplish that: using satellite images, the
proposed model is able to forecast solar irradiance without the need of ground
measurements. To illustrate the performance of the proposed model, we consider
15 locations in The Netherlands, and we show that the proposed model is as
accurate as local models that are individually trained with ground data.
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BibTeX
@inproceedings{LagDeB:18-018,
author = {Lago, Jesus and De Brabandere, Karel and De Ridder, Fjo and De
Schutter, Bart},
title = {A Generalized Model for Short-Term Forecasting of Solar
Irradiance},
booktitle = {Proceedings of the 57th IEEE Conference on Decision and
Control},
address = {Miami Beach, Florida},
pages = {3165--3170},
month = dec,
year = {2018}
}