Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Pauwels, Eric J"'
Singular Value Decomposition (SVD) and its close relative, Principal Component Analysis (PCA), are well-known linear matrix decomposition techniques that are widely used in applications such as dimension reduction and clustering. However, an importan
Externí odkaz:
http://arxiv.org/abs/2106.12955
In this paper we extend the investigation into the transition from sure to probabilistic sniping as introduced in Menkveld and Zoican \cite{mz2017}. In that paper, the authors introduce a stylized version of a competitive game in which high frequency
Externí odkaz:
http://arxiv.org/abs/1912.04012
In Europe, Germany is taking the lead in the switch from the conventional to renewable energy. This poses new challenges as wind and solar energy are fundamentally intermittent, weather-dependent and less predictable. It is therefore of considerable
Externí odkaz:
http://arxiv.org/abs/1807.07328
Many time series in smart energy systems exhibit two different timescales. On the one hand there are patterns linked to daily human activities. On the other hand, there are relatively slow trends linked to seasonal variations. In this paper we interp
Externí odkaz:
http://arxiv.org/abs/1807.10120
We address the problem of data-driven pattern identification and outlier detection in time series. To this end, we use singular value decomposition (SVD) which is a well-known technique to compute a low-rank approximation for an arbitrary matrix. By
Externí odkaz:
http://arxiv.org/abs/1807.03386
Autor:
Do, Chau, Pauwels, Eric J.
Publikováno v:
CICM 2013, LNAI (7961), Springer, 2013
Ontologies provide a formal description of concepts and their relationships in a knowledge domain. The goal of ontology alignment is to identify semantically matching concepts and relationships across independently developed ontologies that purport t
Externí odkaz:
http://arxiv.org/abs/1307.1568
The evolution of electricity price on the German day-ahead market before and after the energy switch
Publikováno v:
In Renewable Energy April 2019 134:1-13
Publikováno v:
In Applied Energy 15 March 2019 238:1258-1268
Publikováno v:
In Neurocomputing 2 July 2013 111:70-80
Publikováno v:
In Engineering Applications of Artificial Intelligence 2009 22(1):26-31