Hochschule für Wirtschaft FHNW

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Auflistung Hochschule für Wirtschaft FHNW nach Schlagwort "003 - Systeme"

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    Publikation
    A viewpoint-based case-based reasoning approach utilising an enterprise architecture ontology for experience management
    (Taylor & Francis, 28.03.2016) Martin, Andreas; Emmenegger, Sandro; Hinkelmann, Knut; Thönssen, Barbara [in: Enterprise Information Systems]
    The accessibility of project knowledge obtained from experiences is an important and crucial issue in enterprises. This information need about project knowledge can be different from one person to another depending on the different roles he or she has. Therefore, a new ontology-based case-based reasoning (OBCBR) approach that utilises an enterprise ontology is introduced in this article to improve the accessibility of this project knowledge. Utilising an enterprise ontology improves the case-based reasoning (CBR) system through the systematic inclusion of enterprise-specific knowledge. This enterprise-specific knowledge is captured using the overall structure given by the enterprise ontology named ArchiMEO, which is a partial ontological realisation of the enterprise architecture framework (EAF) ArchiMate. This ontological representation, containing historical cases and specific enterprise domain knowledge, is applied in a new OBCBR approach. To support the different information needs of different stakeholders, this OBCBR approach has been built in such a way that different views, viewpoints, concerns and stakeholders can be considered. This is realised using a case viewpoint model derived from the ISO/IEC/IEEE 42010 standard. The introduced approach was implemented as a demonstrator and evaluated using an application case that has been elicited from a business partner in the Swiss research project.
    01A - Beitrag in wissenschaftlicher Zeitschrift
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    Publikation
    Load Control in Real Time Price Prediction
    (Hochschule für Wirtschaft FHNW, 20.06.2017) Arsi, Irisa; Wache, Holger
    Switzerland’s electricity consumption in 2014 was 59.3 TWh (Abrell, 2016) and continues to rise every year. As residential needs for electrical energy increase, so does the demand (Abrell, 2016; Filippini, 2011; IEA, 2012; Zhao et al, 2013). As a result, the necessary energy for meeting the demand cannot be provided by the power grid (Abrell, 2016; Filippini, 2011). The Swiss government has tried by applying new methods in price calculation for electricity to help shift the loads to different times (Abrell, 2016). Nevertheless, over- loadings and blackouts occur several times per year creating high maintenance costs (Abrell, 2016; Filippini, 2011), for the production companies which reflects to the users’ payments as well. On the one hand consumers' demand aims at electrical energy of high quality and reliability (Abrell, 2016), but on the other hand producers’ aim in less maintenance costs. A clear solution is needed for the demand and supply of Switzerland’s grid to balance. A new solution, a new methodology based not entirely in technology but also in the correct use of Information Systems. This paper will describe a new proposal, solution for the Swiss energy production and consumption to balance through energy scheduling and flexible pricing. Smart buildings and smart appliances, will provide users, with an ECO efficient use of the energy through the Information. The users can create their own demand schedule, in accordance to the calculated prices by the combination of RTP and IBR and their actual needs. During Real Time Electricity Pricing (RTP) prices can be generated hourly and transmitted to users. A problem that increases with RTP is that users tend to maximize the use of their appliances during the low peak prices and potentially create overloads, which could lead to instability of the grid or even a power blackout. In order, to avoid such problems, and secure except of flexible prices also reliability and stability for the system, RTP needs to be combined with the Inclining Block Rate (IBR) methodology. During IBR pricing prices can be calculated according to the loads. The combination of the two methodologies give the possibility to the users not only to schedule their energy use by time but loads as well. An important fact that rises through this proposal is the possibility, given to the energy production companies and the government, to balance the maintenance costs which will lead in saving thousands of francs every year by simply involving the end-users in the electric grid operation. Simply by giving the possibility to users to control their appliances’ consumption, for different periods, by reducing their consumption or shift their loads to low peak periods.
    11 - Studentische Arbeit
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    Publikation
    wbacon: Weighted BACON algorithms for multivariate outlier nomination (detection) and robust linear regression
    (Institute for Competitiveness and Communication, Hochschule für Wirtschaft FHNW, 15.06.2021) Schoch, Tobias
    The BACON algorithms are methods for multivariate outlier nomination (detection) and robust linear regression by Billor, Hadi, and Velleman (2000, doi:10.1016/S0167-9473(99)00101-2). The extension to weighted problems is due to Beguin and Hulliger (2008, www150.statcan.gc.ca/n1/en/catalogue/12-001-X200800110616); see also Schoch (2021, doi:10.21105/joss.03238).
    09 - Software