Search Results for: Oracle 1z0-1104-23 Fragen und Antworten, Oracle Cloud Infrastructure 2023 Security Professional Prüfungsfragen 🔭 Suchen Sie auf der Webseite ▶ www.itzert.com ◀ nach 【 1z0-1104-23 】 und laden Sie es kostenlos herunter ☎1z0-1104-23 Dumps Deutsch

The number of energy communities in Austria is growing rapidly. Their operation primarily relies on standardized processes for data collection, communication, and billing. Beyond collective accounting within the community, further optimizations—such as maximizing self-consumption and minimizing grid feed-in—are severely limited by the lack of real-time data. Accessing real-time energy data directly via the smart meter customer interface and aggregating it at the community level enables more precise load balancing and better utilization of renewable energy sources. This paper presents the Community Aggregation Tool, a modular software solution designed to collect, harmonize, and aggregate real-time energy data from diverse metering systems and protocols. The tool integrates multiple data sources and leverages existing open-source solutions for its implementation. Initial deployments in selected energy communities demonstrate its potential to address key challenges, such as limited data granularity and the heterogeneity of household devices.

Tourism in the mountains is on the brink of change. The new ideas competition on the IdeaSpace idea platform from Salzburg Research is looking for creative digital solutions that offer new opportunities for the sustainable development of tourism in sensitive regions. Climate change, new travel habits, a shortage of skilled workers, and ecological challenges are changing the way people vacation in the mountains — not just in the wintertime. Digital technologies, smart data solutions, and sustainable innovations provide an opportunity to transform mountain tourism for the better. Ideas for sustainable mountain tourism Creative, practicable ideas are being sought for two special places in the mountains that are open to change: the Nordkette in Innsbruck (Austria) and the Bavarian Forest National Park vacation region (Germany). The new ideas should ensure that visits to these regions remain exciting, sustainable, and attractive to different target groups year-round. Whether through new off-season offers, digital platforms, tools for visitor management […]

The Salzburger Freilichtmuseum is constantly expanding its offerings for guests and is looking for the most exciting (digital) ideas together with its existing and future guests. The new ideas competition on the IdeaSpace idea platform from Salzburg Research focuses on improving the museum experience. Everyone has different ideas about a museum visit. What does it take to make a visit attractive to you, to make you remember it fondly, and to make it feel like time well spent? What do you need to experience to make you want to come back or recommend the museum to others? We are looking for ideas to enhance the visitor experience at the Salzburger Freilichtmuseum. The focus is on the use of new technologies. A maximum of five ideas per person can be submitted by 15.05.2025 in the following subject areas: Together with our current and future guests, we would like to continue to develop and expand the services […]

Collecting real-world data in mobile communication has the drawback that these data are often not representing the real world. This happens due to passive collected data. The representativeness of a dataset can increase by adding active collected data. In this active data acquisition, we collect data with respect to specific characteristics like time of day or weekday, that are representing the integrity of the dataset. Thus, we explore a method to calculate our data gaps based on Active Learning and do active measurements to fill these gaps afterwards. Finally, we compare our newly collected data with our passively collected data to evaluate our method.

In January, the winners of the “Wanted: Sustainable last mile delivery heroes” ideas competition, part of the SuColo research project, on Salzburg Research’s IdeaSpace ideas platform were awarded. The SuCoLo project explores sustainable and inclusive solutions for the use of bicycle logistics to promote net-zero ways of delivery and collection of goods in outlying urban areas. For this idea competition innovative ideas were sought for sustainable solutions that raise awareness of green alternatives, support local initiatives, promote sustainable collection and delivery methods and motivate consumers to make environmentally conscious choices. Concrete, practicable solutions to the following questions were sought: Innovative solutions awarded A total of 53 creative ideas was submitted to open innovation platform IdeaSpace from Salzburg Research. After the community evaluation, the ideas were presented to the renowned expert jury. The three innovative solutions and a community winner – the idea with the most community likes – were selected: Congratulations to the winners and […]

Künstliche Intelligenz (KI) liegt im Trend und die Erwartungshaltung aller ist entsprechend groß. Vielen ist jedoch nicht bewusst, dass KI-Systeme aufwendig trainiert werden müssen und die Auswahl und Bereitstellung der Trainingssets die Richtigkeit und Funktionsfähigkeit der KI entscheidend beeinflussen. Erforderliche Daten mit dem notwendigen Detailgrad sind in der Recyclingbranche zumeist kaum bis gar nicht vorhanden. Im vorliegenden Beitrag werden Herausforderungen bei der Datenbereitstellung der KI-Systeme für das Leitprojekt KIRAMET vorgestellt.

The circular economy is a transformative approach that aims to decouple economic growth from linear resource consumption, thereby promoting environmental sustainability and resource efficiency. Digital Product Passports (DPPs) include data on product lifecycles to increase transparency, improve resource efficiency and extend product life. The Circular Economy (CE)-Pass project aims to assess the feasibility of a DPP and associated data exchange to improve the circularity of automotive products. The present study considers specific data needs of stakeholders over the life cycle of an electric vehicle battery leading to the development of a DPP-prototype. Persona workshops with experts were conducted to identify the potential passport “users” (e.g., battery designers, recyclers, etc.) and the most relevant data attributes for a digital battery passport. This led, applying a user-centered design approach, to the development of aholistic data model and prototype considering the stakeholder requirements. Circularity within the prototype will be supported by data transfer between stakeholders as well as […]

Dieser Beitrag beschreibt Möglichkeiten der Integration digitaler Technologien in die Kreislaufwirtschaft im Kontext des Metallrecyclings. Er hebt die Vorteile eines Digitalen Produktpasses (DPP) hervor, der durch die Bereitstellung detaillierter Produktinformationen die Ressourceneffizienz im Produktlebenszyklus erhöhen kann. “Smart Waste”, mit Informationen angereicherter Abfall, optimiert die Recyclingprozesse durch den Einsatz digitaler Technologien wie IoT und KI. Schlüsseltechnologien für digitale Zwillinge in der Industrie 4.0, wie die Verwaltungsschale (Asset Administration Shell „AAS“) ermöglichen hohe Datenqualitäten und -verfügbarkeit zur Verbesserung der Recyclingprozesse, z.B. durch verbessertes Vorsortieren und gezieltere Demontage von Komponenten. Der Artikel betont die Bedeutung der Digitalisierung für die Kreislaufwirtschaft und plädiert für standardisierte Informationsmodelle und interoperable Systeme, um die Potenziale der Digitalisierung voll auszuschöpfen und Materialkreisläufe effizienter zu machen.

Date: May 5, 2025 – May 7, 2025This workshop is part of the 20th International Conference on Persuasive Technology 2025https://2025.persuasivetech.org Changing behavior in the long term plays a vital role, for example when it comes to health interventions or to support transition in urban mobility. Technology Acceptance Models highlight factors like perceived ease of use and usefulness. Persuasive strategies (PSs) or behavior change techniques (BCTs) influence attitudes and beliefs. However, these have hardly been considered in technology acceptance models to date. Integrating perceived persuasiveness into technology acceptance models and exploring relationships with personality factors and persuasive strategies can provide insights into system usage on a long-term. Within this half-day workshop will discuss the intersection of technology acceptance and digital behavior change, addressing existing knowledge and predictive models. This integration is crucial for effectively implementing technologies that foster long-term behavior change. The workshop Within this half-day workshop, we aim at bringing together researchers and practitioners interested […]

[…] support for the implementation of local energy communities. Local energy communities help to develop renewable energy as the participants collectively invest in renewable energy sources, such as solar or wind power. This contributes to climate protection by reducing CO2 emissions as well as decreasing dependence on fossil fuels and centralized energy companies. In addition, the members of an energy community can reduce their energy costs through self-consumption and direct trading with each other. This increases both the security of supply and participation through a greater role in shaping one’s own energy supply. IT architecture for local energy communities The ECOSINT research project has developed an innovative IT architecture for local energy communities that allows participants to generate energy locally and trade it directly with other members of the community. The architecture focuses on integrating state-of-the-art technologies to optimize grid operation, security, and consumption management. Thanks to its flexibility and scalability, it can also cope […]

[…] black-start capable in the formation of supplied islands that can be synchronized and interconnected step by step. However, in the event of a prolonged large-scale power outage, the communication capabilities are not available, and the necessary coordination is no longer possible. Modern satellite communication based on low earth orbit (LEO) satellites can provide a remedy. The satellites are self-sufficient anyway and the overall system can be designed such that only the endpoints of communication (source/destination) require power. Security of supply is the top priority in the design decisions for the electricity grid. A high volume of distributed volatile generation massively increases the demands on the electricity grid. There is a risk that the threat of a blackout (resilience) will block the energy transition. The STARS project attempts to resolve this potential blockade by ensuring that the coordination of small-scale distributed generation is still possible even after longer power outages. To this end, a simulation […]

Das vorliegende Dokument, “Best-Practice Handbuch & Handlungsempfehlungen”, wurde im Rahmen des ECOSINT-Projekts (Projekt-Nr. 881165) erstellt und liefert umfassende Leitlinien für die Implementierung und den Betrieb von lokalen Energiegemeinschaften (LECs). Basierend auf einer innovativen IT-Architektur, die den Ausbau erneuerbarer Energien sowie hohe Standards in Datenschutz und Sicherheit unterstützt, werden Best-Practice-Beispiele, technologische Lösungen und Handlungsempfehlungen für eine nachhaltige Energiewirtschaft vorgestellt. Die Ergebnisse basieren auf umfangreichen Simulationen, Stakeholder-Workshops und der Analyse von Referenzprojekten. Das Handbuch richtet sich an Entscheidungsträger:innen, Netzbetreiber und Energiegemeinschaften und bietet praxisorientierte Unterstützung bei der Umsetzung von LECs, um eine nachhaltige und dekarbonisierte Energiezukunft zu fördern. ECOSINT_HandbuchHerunterladen

Amidst a technology push for electric mobility, the societal implementation of new e-mobility innovations is multi-layered and warrants a user-centered view. This study explores how the application of the outcome-driven innovation method (ODI) can be extended to e-mobility and inform a more responsible design of electric two-wheeler product and service development. By means of discovering electric two-wheelers’ possible weak spots and potentials using outcome-driven innovation with citizens, their unmet requirements can be better addressed. The results suggest several innovation potentials which could better facilitate users in getting certain jobs done, such as developing a more lightweight vehicle design. Additionally, the diverse needs of users can be transformed into real customer benefits through the subsequent integration of additional vehicle functionalities, such as complementing human machine interfaces or wearables. By employing outcome-driven innovation as a deliberative and inclusive means of creating value and by being receptive to citizen feedback, ODI has the potential to make a meaningful […]

The new ideas competition on the IdeaSpace.cc ideas platform focuses on your ideas for sustainable delivery. Even if you live in suburban or rural areas, you shouldn’t have to compromise on environmentally friendly choices, especially at the key final stage of goods logistics. For the research project SuCoLo, we are looking for innovative ideas for sustainable solutions that raise awareness of green alternatives, support local initiatives, promote sustainable collection and delivery methods, and motivate customers to make environmentally conscious choices. Contribute your ideas alone or as a team and shape the future of logistics in a sustainable, smart, and livable way! You can submit your ideas to IdeaSpace in these four categories until November 2024: YOUR ideas can make the difference and make delivery systems smarter and more sustainable! The best ideas will receive valuable rewards. Be a part of something big – it’s that easy! Salzburg Research’s IdeaSpace ideas platform is all about your […]

The energy system is undergoing a significant transformation, shifting towards a cyber-physical system of systems driven by factors like the integration of renewable energy sources and the digitalisation of energy services. This evolution introduces increased complexity, necessitating an enhanced development process that integrates diverse team competencies. This work focuses on introducing a model-based, service-oriented, and cooperative development and validation platform tailored for smart grid automation applications. The objective is to establish an architecture for an interoperable, distributed, and service-oriented ecosystem that delivers modular services to collaborative development teams throughout the entire life cycle of applications. The related platform facilitates the management of engineering data crucial for achieving a continuous, transparent, and interoperable digitalisation of the energy system. The paper introduces the collaborative approach and its associated framework architecture and services, illustrating their application on a selected scenario addressing the topic of substation automation. Finally, the initial results are discussed, offering insights into future developments.

Location: Webinar via ZoomDate and Time: 02.09.2024 | 11:00 – 12:15 CETLanguage: English The recent advancements in artificial intelligence (AI) have ushered in a transformative era across various industries, and the tourism industry, specifically mobility, is no exception. Join this interactive webinar and discover the dynamic interplay of recent trends in this field! Additionally, gain insights into the potential disruptions and opportunities that small and medium enterprises (SMEs) in this industry may face. After the talk, you have the chance to voice your views with like-minded participants. This webinar takes place on behalf of the European Digital Innovation Hub (EDIH) Crowd-in-Motion, which aims to provide customized consulting services to European public administrations, start-ups and SMEs to foster their journey towards digitization – particularly in the realms of preventive health, mobility, tourism and alpine sports. In doing so, EDIH Crowd-in-Motion aims to be a one-stop shop to unleash these entities’ digital potential, with free-of-charge services to […]

Machine learning has found many applications in network contexts. These include solving optimisation problems and managing network operations. Conversely, networks are essential for facilitating machine learning training and inference, whether performed centrally or in a distributed fashion. To conduct rigorous research in this area, researchers must have a comprehensive understanding of fundamental techniques, specific frameworks, and access to relevant datasets. Additionally, access to training data can serve as a benchmark or a springboard for further investigation. All these techniques are summarized in this article; serving as a primer paper and hopefully providing an efficient start for anybody doing research regarding machine learning for networks or using networks for machine learning.