Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Multi-Scheme Ensemble Using Coopetitive Soft-Gating With Application
  to Power Forecasting for Renewable Energy Generation   In this article, we propose a novel ensemble technique with a multi-scheme
weighting based on a technique called coopetitive soft gating. This technique
combines both, ensemble member competition and cooperation, in order to
maximize the overall forecasting accuracy of the ensemble. The proposed
algorithm combines the ideas of multiple ensemble paradigms (power forecasting
model ensemble, weather forecasting model ensemble, and lagged ensemble) in a
hierarchical structure. The technique is designed to be used in a flexible
manner on single and multiple weather forecasting models, and for a variety of
lead times. We compare the technique to other power forecasting models and
ensemble techniques with a flexible number of weather forecasting models, which
can have the same, or varying forecasting horizons. It is shown that the model
is able to outperform those models on a number of publicly available data sets.
The article closes with a discussion of properties of the proposed model which
are relevant in its application.

13
The categories of this paper are: quant-ph
0
The categories of this paper are: hep-ph
15
The categories of this paper are: nucl-ex
2
The categories of this paper are: math
14
The categories of this paper are: math-ph
7
The categories of this paper are: hep-th
25
The categories of this paper are: patt-sol
32
The categories of this paper are: atom-ph
20
The categories of this paper are: acc-phys
21
The categories of this paper are: adap-org
1
The categories of this paper are: cs
22
The categories of this paper are: chao-dyn
6
The categories of this paper are: astro-ph
28
The categories of this paper are: alg-geom
5
The categories of this paper are: gr-qc
24
The categories of this paper are: dg-ga