Wache, Holger
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Wache, Holger
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- PublikationTechnoeconomic review of smart metering applications(Springer, 2023) Efkarpidis, Nikolaos; Geidl, Martin; Wache, Holger; Peter, Marco; Adam, Marc; Ould Abdeslam, Djaffar [in: Smart meters. Artificial intelligence to support proactive management of energy consumption]This chapter represents a brief version of the survey conducted in Efkarpidis et al. (Smart metering applications: main concepts and business models. Springer Nature Switzerland, Basel, pp. 1–164, 2022), where various smart metering applications are presented from the point of different stakeholders’ interests.04A - Beitrag Sammelband
- PublikationSmart metering applications. Main concepts and business models(Springer, 2022) Efkarpidis, Nikolaos; Geidl, Martin; Wache, Holger; Peter, Marco; Adam, MarcThis book presents a large number of smart metering applications from the points of view of different stakeholders. The applications are clustered with respect to three types of stakeholders: (a) end-customers, (b) energy service providers, and (c) authorities/research institutions or other organizations. The goal of the book is to examine the implementation potential for each application, considering the interests and benefits for the key stakeholders, main technical and regulatory requirements, as well as limitations and barriers. A business case for each application is created that can provide guidelines to the stakeholders involved in its realization. The book additionally investigates current business models for smart metering applications. A survey on the current techno-economic potential of such applications is conducted based on a questionnaire filled by various stakeholders. The book will be of interest to academic/research institutions, but also engineers in industry, authorities or other organizations.02 - Monographie
- PublikationImpact of prosumers on the accuracy of load forecast with neural networks(2020) Muff, Roswitha; Wache, Holger [in: Abstracts from the 9th DACH+ Conference on Energy Informatics]More and more prosumers will penetrate the power grid. But how do prosumers affect the accuracy of the day-ahead load forecast? In contrast to related research on prosumers and load forecast, this paper addresses the impact of different shares of prosumers on the load forecast for areas with several households. In order to answer this research question, the load forecast accuracies for a dataset without prosumers is compared to the ones of datasets with different shares of prosumers in an experimental setup using neural networks. A sliding window approach with lagged values up to seven days is applied. Apart from electricity consumption data weather and date data are considered. The conducted tests show, that the mean absolute percentage error increases from about 8% for a dataset without prosumers up to about 39% for a dataset with a share of prosumers of 80%. It can therefore be concluded that prosumers decrease the accuracy of the day-ahead load forecast with neural networks.04B - Beitrag Konferenzschrift
- PublikationLoad management for idle capacity of power grids(Springer, 2019) Layec, Vincent; Wache, Holger [in: Energy Informatics]A major issue hampering a rapid substitution of fossil fuels by electricity from sustainable sources is the fear of congestion of the power grid and of associated costs of their reinforcement. The conventional approach prevents any rapid raise of electricity demand by encouraging other energy carriers and sector coupling. However, no approach investigates the utilization of the full capacity of the power grid alone, which are kept idle to provide sufficient reserve for the case of a failure. Therefore, we test a load management approach designed to utilize this reserve capacity. We verify in this paper the correct functionality of the system made of a device manager for cost optimization of schedules and of a grid manager to enforce the respect of power limits of the grid. This novel approach contributes to reduce emission of greenhouse gases without grid reinforcement.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationTechnical validation of the RLS smart grid approach to increase power grid capacity without physical grid expansion(SciTePress, 2019) Christen, Ramón; Layec, Vincent; Wilke, Gwendolin; Wache, Holger; Donnellan, Brian; Klein, Cornel; Helfert, Markus [in: Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems]The electrification of the global energy system and the shift towards distributed power production from sus- tainable sources triggers an increased network capacity demand at times of high production or consumption. Existing energy management solutions can help mitigate resulting high costs of large-scale physical grid rein- forcement, but often interfere in customer processes or restrict free access to the energy market. In a preceding paper, we proposed the RLS regional load shaping approach as a novel business model and load management solution in middle voltage grid to resolve this dilemma: market-based incentives for all stakeholders are pro- vided to allow for flexible loads that are non-critical in customer processes to be allocated to the unused grid capacity traditionally reserved for N-1 security of supply. We provide a validation of the technical aspects of the approach, with an evaluation of the day-ahead load forecasting method for industry customers and a load optimization heuristics. The latter04B - Beitrag Konferenzschrift
- PublikationFlexible capacity addition case study at reduced grid tariff without security of supply(2019) Layec, Vincent; Wache, Holger [in: 2019 16th International Conference on the European Energy Market (EEM)]Energy intensive industries are sensitive both to the reliability and to the costs of their energy supply system. With renewable energy becoming more affordable, their weather dependent over- and under production will cause more volatile and higher spot price, but fees prevent the roll-out of Power- to-Gas. In this paper, we differentiate the new flexible loads of energy conversion and storage like Power-to-X or batteries from the regular loads of the core activity of industries and we design the tariff system of flexible loads in such a way to be financially attractive, by abandoning a security of supply that they actually do not need. In a previous work, the technical functionality of a load management system solving the grid congestion issues was described. Here we aggregate the yearly energy balance and the associated costs in six case studies to verify that the roll-out of the new flexible loads is economically viable. The financial attractiveness of the roll-out of new flexible loads with reduced tariff system and future drop in technology price is verified in all these customers and the tariff reduction for conditional loads is the decisive factor of the profitability in four of them.04B - Beitrag Konferenzschrift
- PublikationShaping aggregated load profiles based on optimized local scheduling of home appliances(Springer, 2018) Hunziker, Christoph; Schulz, Nicola; Wache, Holger [in: Computer Science - Research and Development]We present a new method to control an aggregated electric load profile by exploiting the flexibilities provided by residential homes. The method is based on a common energy price combined with inclining block rates, broadcasted to all households allowing them to minimize their energy provisioning cost. The distributed home energy management systems receive the price signal and use mixed integer linear programming for optimal scheduling of load, storage, and generation devices. The method provides excellent scalability as well as autonomy for home owners and avoids load synchronization effects. As proof of concept, an optimization algorithm for determining a day-ahead price is applied in two case studies. An excellent conformance between a given reference load profile and the resulting aggregated load profile of all households is demonstrated.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationPoster Abstract: SmartStability - A multi-agent simulation environment for flexibility trading in households(Springer, 2018) Wache, Holger; Künzli, Michael; Schulz, Nicola; Bichsel, Jürg; Hall, Monika [in: Computer Science - Research and Development]The increasing number of volatile energy sources, such as solar power plants, challenges the power network operators, the energy brokers as well as the electricity market actors. In this work, a multi-agent based approach will be introduced that allows multiple households to trade flexibilities, on top of the usual selling of produced energy to the paying consumer. Flexibility trading allows different optimisations for different actors. They can slightly shift their electricity consumption, e.g. by turning boilers on/off, to optimise the system (e.g. follow a predefined schedule). Simulation results indicate that a flexibility market consisting of only few households can already help to optimise the system.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationClassification of Economic Approaches for Smart Grid(IEEE, 2015) Keller, Corinne; Manser, Daniel; Vogler, Sandro; Wache, Holger [in: 12th International Conference on the European Energy Market, IEEE Computer Society Press]Abstract—Several European countries are increasingly focusing on renewable energy in order to satisfy their demand. A core problem of these sources is their reliability, which means less continuously available energy is accessible. Smart grids are trying to cope with this problem by adding intelligence to the net, which tries to adjust the load according to the current produced amount of electrical energy. Many approaches try to tackle down this problem by technical means. This paper analyses existing economical approaches for smart grid environments and highlights the unique features and important properties of a broad selection of papers. Classification criteria are derived from existing literature. Afterwards, the most prominent papers are used to demonstrate how the classification scheme can be applied.04 - Beitrag Sammelband oder Konferenzschrift
- PublikationEnergy saving in smart homes based on consumer behavior: A case study(IEEE, 2015) Zehnder, Michael; Wache, Holger; Witschel, Hans Friedrich; Zanatta, Danilo; Rodriguez, Miguel [in: First IEEE International Smart Cities Conference (ISC2-2015)]This paper presents a case study of a recommender system that can be used to save energy in smart homes without lowering the comfort of the inhabitants. We present an algorithm that mines consumer behavior data only and applies machine learning to suggest actions for inhabitants to reduce the energy consumption of their homes. The system looks for frequent and periodic patterns in the event data provided by the digitalSTROM home automation system. These patterns are converted into association rules, prioritized and compared with the current behavior of the inhabitants. If the system detects opportunities to save energy without decreasing the comfort level, it sends a recommendation to the inhabitants.04B - Beitrag Konferenzschrift