TY - RPRT A1 - Auer, Veronika A1 - Beneken, Gerd A1 - Brummer, Benjamin A1 - Châteauvieux-Hellwig, Camille A1 - Engler, Benjamin A1 - Gilly, Alexander A1 - Hagl, Rainer A1 - Hummel, Felix A1 - Hummel, Sabine A1 - Karlinger, Peter A1 - Knorr, Ludwig A1 - Köster, Heinrich A1 - Kucich, Martin A1 - Mecking, Simon A1 - Rabold, Andreas A1 - Sandor, Viktor A1 - Schalk, Daniel A1 - Schanda, Ulrich A1 - Schemme, Michael A1 - Schiffner, Ivonne A1 - Schmidt, Jochen A1 - Schugmann, Reinhard A1 - Seidlmeier, Heinrich A1 - Sigg, Ferdinand A1 - Stauss, Kilian A1 - Sussmann, Monika A1 - Wellisch, Ulrich A1 - Wenninger, Marc A1 - Wittmann, Josef A1 - Zscheile, Matthias T1 - Jahresbericht 2016, Forschung - Entwicklung - Innovation N2 - Mit dem jährlich erscheinenden Forschungsbericht möchte die Hochschule Rosenheim einen Einblick in ihre vielfältigen Projekte und Aktivitäten der angewandten Forschung und Entwicklung geben. Im Jahresbericht 2016 wird über Vorhaben im Jahr 2016 berichtet. T3 - Schriftenreihen - Forschungsbericht - 5 KW - Forschung Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:861-opus4-12282 ER - TY - RPRT A1 - Ackermann, Timo A1 - Angermeier, Martin A1 - Auer, Veronika A1 - Beneken, Gerd A1 - Bernhardt, Andreas A1 - Botsch, Rafael A1 - Bücker, Dominikus A1 - Hager, Ralf A1 - Hauck-Bauer, Eva A1 - Heigl, Martin A1 - Hirschmüller, Sebastian A1 - Höllmüller, Janett A1 - Karlinger, Peter A1 - Köster, Heinrich A1 - Krause, Harald A1 - Kucich, Martin A1 - Matthias, Kira A1 - Patzl, Victoria A1 - Plönnigs, René A1 - Posch, Georg A1 - Schanda, Ulrich A1 - Scheerer, Josua A1 - Schlecht, Johannes A1 - Schmidt, Jochen A1 - Stichler, Markus A1 - Uhl, Cornelius A1 - Viehhauser, Peter A1 - Weber, Gabriel A1 - Wolf, Christopher A1 - Zagler, Stefan A1 - Zentgraf, Peter T1 - Forschungsbericht 2013 N2 - Mit dem jährlich erscheinenden Forschungsbericht möchte die Hochschule Rosenheim einen Einblick in ihre vielfältigen Projekte und Aktivitäten der angewandten Forschung und Entwicklung geben. Im Forschungsbericht 2013 wird über Vorhaben im Jahr 2013 berichtet. T3 - Schriftenreihen - Forschungsbericht - 2 KW - Forschung Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:861-opus4-12324 ER - TY - JOUR A1 - Wenninger, Marc A1 - Bayerl, Sebastian P. A1 - Schmidt, Jochen A1 - Riedhammer, Korbinian T1 - Timage – A Robust Time Series Classification Pipeline JF - Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series. ICANN 2019. Lecture Notes in Computer Science N2 - Time series are series of values ordered by time. This kind of data can be found in many real world settings. Classifying time series is a difficult task and an active area of research. This paper investigates the use of transfer learning in Deep Neural Networks and a 2D representation of time series known as Recurrence Plots. In order to utilize the research done in the area of image classification, where Deep Neural Networks have achieved very good results, we use a Residual Neural Networks architecture known as ResNet. As preprocessing of time series is a major part of every time series classification pipeline, the method proposed simplifies this step and requires only few parameters. For the first time we propose a method for multi time series classification: Training a single network to classify all datasets in the archive with one network. We are among the first to evaluate the method on the latest 2018 release of the UCR archive, a well established time series classification benchmarking dataset. KW - neural networks Y1 - 2019 VL - 11730 PB - Springer CY - Cham ER - TY - JOUR A1 - Wenninger, Marc A1 - Stecher, Dominik A1 - Schmidt, Jochen T1 - SVM-Based Segmentation of Home Appliance Energy Measurements JF - Proceedings 8th IEEE International Conference on Machine Learning and Applications -ICMLA 2019 N2 - Generating a more detailed understanding of domestic electricity demand is a major topic for energy suppliers and householders in times of climate change. Over the years there have been many studies on consumption feedback systems to inform householders, disaggregation algorithms for Non-Intrusive-Load-Monitoring (NILM), Real-Time-Pricing (RTP) to promote supply aware behavior through monetary incentives and appliance usage prediction algorithms. While these studies are vital steps towards energy awareness, one of the most fundamental challenges has not yet been tackled: Automated detection of start and stop of usage cycles of household appliances. We argue that most research efforts in this area will benefit from a reliable segmentation method to provide accurate usage information. We propose a SVM-based segmentation method for home appliances such as dishwashers and washing machines. The method is evaluated using manually annotated electricity measurements of five different appliances recorded over two years in multiple households. KW - Machine Learning Y1 - 2019 SP - 1666 EP - 1670 ER - TY - BOOK A1 - Schmidt, Jochen T1 - Grundkurs Informatik - Das Übungsbuch: 148 Aufgaben mit Lösungen KW - Grundlagen Übungen Y1 - 2019 SN - 978-3658259440 PB - Springer Vieweg CY - Wiesbaden ET - 1 ER - TY - BOOK A1 - Beneken, Gerd A1 - Ernst, H. A1 - Schmidt, Jochen T1 - Grundkurs Informatik: Grundlagen und Konzepte für die erfolgreiche IT-Praxis - Eine umfassende, praxisorientierte Einführung (Auflage von 2015) N2 - Das Buch bietet eine umfassende und praxisorientierte Einführung in die wesentlichen Grundlagen und Konzepte der Informatik. Es umfasst den Stoff, der typischerweise in den ersten Semestern eines Informatikstudiums vermittelt wird, vertieft Zusammenhänge, die darüber hinausgehen und macht sie verständlich. Die Themenauswahl orientiert sich an der langfristigen Relevanz für die praktische Anwendung. Praxisnah und aktuell werden die Inhalte für Studierende der Informatik und verwandter Studiengänge sowie für im Beruf stehende Praktiker vermittelt. Die vorliegende fünfte Auflage wurde grundlegend überarbeitet und aktualisiert. KW - Informatik KW - Lehrbuch KW - IT- Praxis Y1 - 2015 PB - Springer Vieweg CY - Berlin ER - TY - CHAP A1 - Wenninger, Marc A1 - Schmidt, Jochen A1 - Goeller, Toni T1 - Appliance Usage Prediction for the Smart Home with an Application to Energy Demand Side Management - And Why Accuracy is not a Good Performance Metric for this Problem. T2 - 6th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS) N2 - Shifting energy peak load is a subject that plays a huge role in the currently changing energy market, where renewable energy sources no longer produce the exact amount of energy demanded. Matching demand to supply requires behavior Changes on the customerside, which can be achieved by incentives suchas Real-Time-Pricing (RTP). Various studies show that such incentives cannot be utilized without a complexity reduction, e.g., by smart home automation systems that inform the customer about possible savings or automatically schedule appliances to off-peak load phases. We propose a probabilistic appliance usage prediction based on historical energy data that can be used to identify the times of day where an appliance will be used and therefore make load shift recommendations that suite the customer’s usage profile. A huge issue is how to provide a valid performance evaluation for this particular problem. We will argue why the commonly used accuracy metric is not suitable, and suggest to use other metrics like the area under the Receiver Operating Characteristic (ROC) curve, Matthews Correlation Coefficient (MCC) or F1-Score instead. KW - Real Time Pricing (RTP) KW - Household Appliance Usage Prediction KW - Demand Side Management Y1 - 2017 ER - TY - CHAP A1 - Goeller, Toni A1 - Wenninger, Marc A1 - Schmidt, Jochen T1 - Towards Cost-Effective Utility Business Models - Selecting a Communication Architecture for the Rollout of New Smart Energy Services T2 - Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS N2 - The IT architecture for meter reading and utility services is at the core of new business models and has a decisive role as an enabler for resource efficiency measures. The communication architecture used by those services has significant impact on cost, flexibility and speed of new service rollout. This article describes how the dominant system model for meter reading came about, what alternative models exist, and what trade-offs those models have for rollout of new services by different stakeholders. Control of a self learning home automation system by dynamic tariff information (Real-Time-Pricing) is given as an application example. KW - Smart Meter, Advanced Metering Infrastructure, AMI Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:861-opus4-8332 SN - 978-989-758-292-9 SP - 231 EP - 237 PB - SciTePress ER - TY - BOOK A1 - Ernst, H. A1 - Schmidt, Jochen A1 - Beneken, Gerd T1 - Grundkurs Informatik: Grundlagen und Konzepte für die erfolgreiche IT-Praxis - Eine umfassende, praxisorientierte Einführung N2 - Zahlensysteme und binäre Arithmetik Nachricht und Information Codierung und Datenkompression Verschlüsselung Schaltalgebra, Schaltnetze und Elemente der Computerhardware Rechnerarchitekturen Rechnernetze Betriebssysteme Datenbanken Automatentheorie und formale Sprachen Berechenbarkeit und Komplexität Suchen und Sortieren Bäume und Graphen prozedurale und objektorientierte Programmierung (C und Java) Anwendungsprogrammierung im Internet (HTML, CSS, JavaScript und PHP) Software-Engineering KW - Informatik KW - Anwendungsprogrammierung im Internet Y1 - 2016 PB - Springer Vieweg CY - Berlin ER - TY - CHAP A1 - Zenger, A. A1 - Schmidt, Jochen A1 - Krödel, M. T1 - Towards the Intelligent Home: Using Reinforcement-Learning for Optimal Heating Control T2 - Advances in Artificial Intelligence, Proceedings of the 36th Annual Conference on AI, volume 8077 of Lecture Notes in Artificial Intelligence N2 - We propose a reinforcement learning approach to heating control in home automation, that can acquire a set of rules enabling an agent to heat a room to the desired temperature at a defined time while conserving as much energy as possible. Experimental results are presented that show the feasibility of our method. KW - Target Temperature KW - Reward Function KW - Heating control KW - Home Automation KW - Approximate dynamic program Y1 - 2013 PB - Springer ER -