Article ID Journal Published Year Pages File Type
5451286 Solar Energy 2017 9 Pages PDF
Abstract
The results indicated that the forecasted power obtained by the model exhibited a high correlation with the measured data and relatively low errors despite the limited number of features that were included in the model and a low number of training samples.
Keywords
Related Topics
Physical Sciences and Engineering Energy Renewable Energy, Sustainability and the Environment
Preview
Use of Multilinear Adaptive Regression Splines and numerical weather prediction to forecast the power output of a PV plant in Borkum, Germany
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