@@ -4,4 +4,12 @@
     authors: J. Zenisek, S. Dorl, D. Falkner, L. Gaisberger, S. Winkler, M. Affenzeller
     publisher: Lecture Notes in Computer Science 12013, Springer Cham, 2022, pp. xxx-xxx (to be published)
     abstract: The current development of today’s production industry towards seamless sensor-based monitoring is paving the way for concepts such as Predictive Maintenance. By this means, the condition of plants and products in future production lines will be continuously analyzed with the objective to predict any kind of breakdown and trigger preventing actions proactively. Such ambitious predictions are commonly performed with support of machine learning algorithms. In this work, we utilize these algorithms to model complex systems, such as production plants, by focussing on their variable interactions. The core of this contribution is a sliding window based algorithm, designed to detect changes of the identified interactions, which might indicate beginning malfunctions in the context of a monitored production plant. Besides a detailed description of the algorithm, we present results from experiments with a synthetic dynamical system, simulating stable and drifting system behavior.
-    link: 
+    link: /
+
+  - id: zenisek2022utilizing
+    year: 2022
+    title: Utilizing Interpretable Machine Learning to detect Dynamics in Energy Communities
+    authors: J. Zenisek, F. Bachinger, E. Pitzer, S. Wagner, M. Affenzeller
+    publisher: Proceedings of the 34th European Modeling and Simulation Symposium, 2022, Italy, Rome (to be published)
+    abstract: With the growing use of machine learning models in many critical domains, research regarding making these models, as well as their predictions, more explainable has intensified in the last few years. In this paper, we present extensions to the machine learning based data mining technique Variable Interaction Networks (VIN), to integrate existing domain knowledge and thus, enable more meaningful analysis. Several tests on data from a case study concerned with long-term monitored photovoltaic systems, verify the feasibility of our approach to provide valuable, human-interpretable insights. In particular, we show the successful application of root-cause detection in scenarios with changing system conditions.
+    link: /
@@ -0,0 +1,36 @@
+---
+layout: post
+lang: de
+title: "Mit Full Paper und Keynote bei der I3M/EMSS 2022"
+description: Secure Prescriptive Analytics mit Full Paper und Keynote bei der I3M/EMSS 2022.
+keywords: Variable Interaction Networks, I3M EMSS 2022, Rom
+date: 2022-09-22 17:05:10 +0200
+categories:
+  - "SecurePrescriptiveAnalytics"
+author: jzenisek
+image: /blog/resources/2022-09-22-emss2022/emss2022_title.png
+---
+
+Nach zwei Jahren virtueller Abhaltung fand die Konferenz 'I3M / EMSS' in ihrer diesjährigen Ausgabe hybrid statt. Das Secure Prescriptive Analytics Projektteam war mit der Präsentation eines Full-Papers und einer Keynote vorort am Konferenzstandort, der Tor Vergata Unversität in Rom, vertreten!
+
+<!--more-->
+Unter dem Dach der jährlich stattfindenden *International Multidisciplinary Modeling and Simulation Multiconference*, kurz [I3M][i3m]{:target="_blank"} wurde auch heuer wieder eine Vielzahl von Subkonferenzen, Meetings, Panels und Symposien rund um den Themenkomplex *Modellierung und Simulation* organisiert. Auf Einladung der Organisatoren steuerte Michael Affenzeller vom SPA-Projektteam eine spannende Keynote zum Thema Prescriptive Analytics gleich zu Beginn der Konferenz bei. Darüber hinaus präsentierte Jan Zenisek sein Full Paper zum Thema *Interpretable Machine Learning* im Workshop *Soft Computing*, der im Rahmen der Subkonferenz *European Modeling and Simulation Symposium* abgehalten wurde.
+
+- Michael Affenzeller, "Prescriptive Analytics: Simulation meets Data Science and Optimization"
+- Jan Zenisek et al., "Utilizing Interpretable Machine Learning to detect Dynamics in Energy Communities"
+
+
+<br/>
+<!-- ![Presentation1](/blog/resources/2022-03-01-eurocast2022/eurocast2022-0.jpg) -->
+
+![Presentation](/blog/resources/2022-09-22-emss2022/emss2022_1.jpg)
+
+Das Full Paper zum Beitrag wird als Teil der Konferenz Proceeding 2022 erscheinen. Neben den vielen spannenden Vorträgen und Gesprächen rund um die Konferenz, konnten durch das abwechslungsreiche Rahmenprogramm -- Welcome Reception und Dinner über den Dächern Roms -- auch ein paar Eindrücke von der ewigen Stadt gewonnen werden.
+
+![Rome Picture 2](/blog/resources/2022-09-22-emss2022/emss2022_2.jpg)
+
+![Rome Picture 3](/blog/resources/2022-09-22-emss2022/emss2022_3.jpg)
+
+![Rome Picture 4](/blog/resources/2022-09-22-emss2022/emss2022_4.jpg)
+
+[i3m]: https://www.msc-les.org/i3m2022/