32nd ICE IEEE/ITMC Conference
(ICE 2026)
22 - 24 June 2026, Porto - Portugal
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview |
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RS-MI-3C: Climate, Energy & Digital Transformation
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| Presentations | ||
Evaluating Cybersecurity Readiness in the Energy Sector in the US: A Technology Assesment Approach 1Portland State University, United States of America; 2Alanya Alaaddin Keykubat Üniversitesi This study presents a technology assessment model applied in the cybersecurty readiness. A quantitative readiness model was specifically designed for assessing the cybersecurity preparedness of organizations within the U.S. energy sector. The proposed Hierarchical Decision Model (HDM) evaluates readiness by identifying key factors that impact cybersecurity and provides a structured approach for assessing these factors through expert scoring. The research addresses a significant gap in the availability of comprehensive tools for decision-makers to assess organizational readiness and guide corrective actions. By producing tailored artifacts, the model assists in meeting the unique cybersecurity and resilience needs of the energy sector, emphasizing the importance of recovery from degraded states. Enhanced reliability resulting from this readiness model contributes to improved operational performance, increased gross margins, and reduced operational failures. This study aims to provide decision-makers with a practical, evidence-based tool for strengthening cybersecurity resilience in the energy industry. A forecasting-based solution to explore energy flexibility in residential swimming pools 1School of Science and Technology, NOVA University Lisbon, Portugal; 2School of Science and Technology, UNINOVA-CTS and LASI, NOVA University Lisbon, Portugal Residential swimming pool filtration systems rep- resent one of the most energy-intensive domestic loads, yet their operation offers significant potential for flexibility and cost reduction. This paper presents the design and validation of a modular plug-and-play control solution that integrates photovoltaic (PV) surplus management, time-of-use scheduling, and rule-based control supported by a predictive model. The system operates through two coordinated layers: a physical layer for power measurement and actuation, and a virtual layer for forecasting, decision-making, and control. Simulation results over a 27-day period demonstrated that the proposed system achieved the required daily filtration volume with an energy cost reduction of more than 80% compared to a specific conventional operation. The predictive model enabled contributed to an improved use of PV surplus and off-peak energy. Future work will focus on real-world validation and refinement of the predictive model to further improve accuracy and adaptability under variable solar conditions. Analysis and Integration of Project Management Standards to Develop a Comprehensive Tailoring Model University of applied Sciences Landshut, Germany The tailoring of a project management process model is considered a key success factor for efficient and effective project execution. As such, it is part of all common project management standards. This paper summarizes the various tailoring approaches of the most common standards and highlights their similarities and differences. Through transparent and well-founded concept development, the building blocks of the various tailoring guidelines are combined into a comprehensive and integrated tailoring approach. This approach takes into account the entire tailoring process during the project lifecycle, the structuring of the project and its governance, as well as standard-specific recommendations such as management products and templates. In addition, the importance of project staff and their competences for successful adaptation and project implementation is emphasized. ChemDPro: An Ontology for the Design of Chemical Products Focused on Organizational Aspects. 1Dept. of Chemical and Environmental Engineering, Universidad Nacional de Colombia, Bogotá, Colombia; 2Université Paris-Saclay, INRAE, AgroParisTech, UMR SayFood. Palaiseau, 91120, France; 3Equipe de Recherche des Processus Innovatifs (ERPI-ENSGSI), Université de Lorraine, Nancy, France The design of chemical products is often understood as an exclusively technical process, focused on defining raw materials and processing conditions. However, the design process happens within organizational contexts, where organizational actors interact, develop activities and take decisions, highly influencing the design outcome. Considering the above, this article proposes ChemDPro, an ontology representing chemical product design within its organizational context. From this perspective, chemical products are the result of cooperative activities done by organizational actors, aligned around a share strategy. The ontology aims to provide a structured knowledge framework to formalize and enhance understanding of chemical product design process and its interaction with the organizational context, as well as to support design traceability and coordination within organizations. This article shows the development steps of the ontology, including domain and scope definition, competency questions formulation, conceptualization, and formal implementation in an ontology software tool (Protégé). The capacity of ontology to connect the design process with the structure of the organization is demonstrated through an example. | ||
