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
- 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
- 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
- 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.04B - Beitrag 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
- PublikationIntelligent Dynamic Load Management Based on Solar Panel Monitoring(04.04.2014) Wilke, Gwendolin; Schaaf, Marc; Wache, Holger; Gatziu Grivas, Stella; Ryter, Remo; Mikkola, Topi; Bun, Eric04B - Beitrag Konferenzschrift
- PublikationEnterprise Architecture Frameworks for Enabling Cloud Computing(26.08.2010) Tripathi, Uttam Kumar; Wache, Holger; Ebneter, Daniel; Stella Gatziu GrivasCloud computing has emerged as a strong factor driving companies to remarkable business success. Far from just being an IT level support solution cloud computing is triggering changes in their core business models by making them more efficient and cost-effective. This has generated an interest for a lot of companies to try and adopt cloud computing for their existing and new business process. In this research we present an approach which a company can use to analyze if its operations can be positively impacted by moving to the cloud. Further we describe our approach using which the company can make that transition to the cloud.04B - Beitrag Konferenzschrift
- PublikationCloud Broker: Bringing Intelligence into the Cloud - An Event-Based Approach(05.07.2010) Tripathi, Uttam Kumar; Wache, Holger06 - Präsentation