Intelligente Stromzähler ermöglichen die Erfassung von Lastprofilen einzelner Haushalte. Mit dem Einsatz von Analyse-Verfahren aus dem Bereich des maschinellen Lernens können Energieversorger aus Smart-Meter-Daten detaillierte Kundeninformationen (z.B. Heizungstyp oder Anzahl der Kinder) automatisch ableiten, die als Grundlage für eine personalisierte Energieberatungsleistung und zur Optimierung der Vertriebsaktivitäten dienen.
Wirksamkeit von Coaching, also das Erreichen angestrebter Wirkungen, ist vielfach bestätigt. Um dem Anspruch der Professionalität gerecht zu werden, muss aber auch die Frage nach dem Wirkmodell geklärt werden. Auf welche Faktoren die Wirksamkeit von Coaching zurückzuführen ist, fasst der Bamberger Coaching-Ansatz daher in zehn Wirkfaktoren für wirksames und professionelles Coaching zusammen. Damit soll für die Coaching-Praxis ein handhabbarer und gleichzeitig wissenschaftlich fundierter Maßstab für die Qualitätssicherung zur Verfügung gestellt werden. Zudem soll eine systematische wissenschaftliche Überprüfung von Wirkfaktoren im Coaching unterstützt werden.
Energy utility companies hold a great potential to improve sustainable practices, as they have access to large amounts of energy consumption data that can be translated into actionable insights toward individual consumers. We investigate the role of energy informatics based artifacts for utility companies to (i) profile households and to individually address customers that have a large potential to elevate their energy efficiency and (ii) at the same time create revenue by purchasing energy efficient goods and related services. Furthermore, we demonstrate how the predicted attributes of millions of households can, in turn, contribute to the economic, environmental, and societal value creation for energy suppliers, utility customers, and the community as a whole. For our empirical study on the detection of households with old heating systems, we cooperated with a large energy supplier in Belgium. The results are used for targeted positioning of new heating systems in a cross-selling campaign and may serve as a blueprint for related data analytics artifacts in this field.
Utility companies generally have an extensive customer base, yet their knowledge about individual households is small. This adversely affects both the development of innovative, household specific services and the utilities’ key performance indicators such as customer loyalty and profitability. With the goal to overcome this knowledge deficit, persuasive systems in the form of customer self-service applications and efficiency coaching portals are becoming the getaway of data exchange between utility and user. While improved customer interaction and the collection of customer data within respective information systems is an important step towards a service-oriented company, the immediate value generated from the collected data is still limited, mostly due to the small fraction of customers actually using such systems. We show how to utilize the knowledge gained from the sparse number of active web users in order to provide low-cost and large-scale insights to potentially all residential utility customers. We do so using machine-learning-based Green IT artifacts that allow for improving decision-making, effectiveness of energy audits, and conservation campaigns, thus ultimately increasing the customer value and adoption of related services. Moreover, we show that data from the publically available geographic information systems can considerably improve the decision quality.
Within the last decade, several studies have analysed the life writing produced by veterans of the U.S. American war against and the ensuing occupation of Iraq (2003-2011). These studies are beginning to offer insightful analyses of several autobiographies written by Iraq War veterans, they focus almost exclusively on male combat veterans, perpetuating a bias that has shaped the genre of autobiographies of war in the United States and the subsequent scholarly analyses of these autobiographies for decades, if not centuries. My paper begins to address this bias by focusing on two autobiographies by female soldiers, namely Jane Blair’s Hesitation kills (2011) and Heidi Squier Kraft’s Rule number two (2007). As the nineteenth-century biographies that Jo Burr Margadant has analysed, these texts can be considered ‘collage[s] of familiar notions merged in unfamiliar ways’ (Margadant, 2000, p.2), as both of them portray the experiences of female soldiers in a combat zone and thus trouble those assumptions about combat, identity, and gender that continue to structure more traditional American life writing about war. In my analysis I show how the autobiographical subjects in these texts are constructed through what I call ‘military femininities’. Drawing in part on conceptual and theoretical work done by Judith Butler, Leigh Gilmore, and R.W. Connell I argue that these military femininities are instrumental in creating female autobiographical subjects that are authorized to talk about war in the cultural context of the contemporary United States, and thus in establishing soldierly identities for American women more generally.