@Article{CitationKey,
author = {Hirsch, Christian and Hillemacher, Lutz and Block, Carsten and Schuller, Alexander and Moest, Dominik},
title = {{Simulations in the Smart Grid Field Study MeRegio
Simulationen im MeRegio Smart Grid Feldtest}},
journal = {it - Information Technology},
year = {2010},
volume = {52},
pages = {100-106},
number = {2},
month = {03},
doi = {10.1524/itit.2010.0577},
url = {http://www.atypon-link.com/OLD/doi/abs/10.1524/itit.2010.0577},
abstract = {The aim of the research project MeRegio is to meet the claim for more efficient decentralized energy systems by integrating advanced information and communication technologies (ICT) into all stages of the energy supply chain. Several marketplaces — in particular for power and for ancillary services — which are coupled to the technical energy infrastructure through a powerful and lawful ICT infrastructure should serve as a basis for an efficient and transparent coordination of energy supply, energy demand, and services. The developed concepts will be both validated by simulations and tested within a model region.}}
					

@Inproceedings{CitationKey,
author = {Block, Carsten and Collins, John and Ketter, Wolf},
title = {{Agent-based competitive simulation: Exploring future retail energy markets}},
booktitle = {Proceedings of the 12th International Conference on Electronic Commerce (ICEC)},
year = {2010},
address = {Hawaii, USA},
month = {August},
abstract = {Future sustainable energy systems will need efficient, clean,
low-cost, renewable energy sources, as well as market structures that motivate
sustainable behaviors on the part of households and businesses. "Smart grid"
components can help consumers manage their consumption only if pricing
policies are in place that motivate consumers to install and use these new
tools in ways that maximize utilization of renewable energy sources while
minimizing dependence on non-renewable energy. Serious market breakdowns, such
as the California energy crisis in 2000, have made policy makers wary of
setting up new retail energy markets. We present the design of an open,
competitive simulation approach that will produce robust research results on
the structure and operation of retail power markets as well as on automating
market interaction by means of competitively tested and benchmarked electronic
agents. These results will yield policy guidance that can significantly reduce
the risk of instituting competitive energy markets at the retail level,
thereby applying economic motivation to the problem of adjusting our energy
production and consumption patterns to the requirements of a sustainable
future.}}
					

@Inproceedings{CitationKey,
author = {Block, Carsten and Collins, John and Ketter, Wolfgang},
title = {{Exploring retail energy markets through competitive simulation}},
booktitle = {ACM EC 2010 Workshop on Trading Agent Design and Analysis (TADA)},
year = {2010},
address = {Harvard University},
editor = {Kate Larson},
month = {June},
abstract = {Future sustainable energy systems will need efficient, clean,
low-cost, renewable energy sources, as well as market structures that motivate
sustainable behaviors on the part of households and businesses. "Smart grid"
components can help consumers manage their consumption only if pricing
policies are in place that motivate consumers to install and use these new
tools in ways that maximize utilization of renewable energy sources while
minimizing dependence on non-renewable energy. Serious market breakdowns, such
as the California energy crisis in 2000, have made policy makers wary of
setting up new retail energy markets. We present the design of an open,
competitive simulation approach that will produce robust research results on
the structure and operation of retail power markets as well as on automating
market interaction by means of competitively tested and benchmarked 
agents. These results will yield policy guidance that can significantly reduce
the risk of instituting competitive energy markets at the retail level,
thereby applying economic motivation to the problem of adjusting our energy
production and consumption patterns to the requirements of a sustainable
future.}}
					

@Inproceedings{CitationKey,
author = {Ahlert, K.-H. and Block, C.},
title = {{Assessing the Impact of Price Forecast Errors on the Economics of Distributed Storage Systems}},
booktitle = {System Sciences (HICSS), 2010 43rd Hawaii International Conference on},
year = {2010},
pages = {1 -10},
month = {5-8},
doi = {10.1109/HICSS.2010.72},
abstract = {This article analyzes the economic impact of price forecast errors on the optimal operation schedules of distributed (battery) storage systems. The presented simulation model extends a linear optimization model that achieves up to 17% annual savings for a storage system in an environment with dynamically changing electricity prices and under the assumptions of ex-ante known load and price data. The main contribution of this paper is to replace the deterministic load and price curves by imperfect forecasts of which the effect of price forecast errors is systematically analyzed. All results are benchmarked against the optimal result of the basic model. The main finding is that the underlying storage optimization model performs with a high robustness against price forecast errors. E.g., up to 10% Mean Absolute Percentage Error (MAPE) for day-ahead price forecasts lead to less than 10% deviation from the optimal result. I.e., the storage model yields up to 15% annual savings vs. 17% in the optimal case.}}
					

@Inproceedings{CitationKey,
author = {Deindl, M. and Block, C. and Vahidov, R. and Neumann, D.},
title = {{Load Shifting Agents for Automated Demand Side Management in Micro Energy Grids}},
booktitle = {Self-Adaptive and Self-Organizing Systems, 2008. SASO '08. Second IEEE International Conference on},
year = {2008},
pages = {487-488},
month = {Oct.},
abstract = {This paper describes a novel approach for the automated management of micro energy grids. In particular a market based resource allocation mechanism is used to control energy generators and consumers within a micro energy grid. This approach requires energy consumers (producers) to buy (sell) their energy demands (supplies) through a specialized electronic auction platform. But as manually negotiating all energy demands and supplies on such a market is a tedious task, its automation is highly desirable and thus leads to the main contribution of this paper: The automation of the demand side bidding process through electronic bidding agents, which are equipped with an intelligent buying strategy that allows them to dynamically react to market changes and adapt their bidding behavior accordingly. More precisely, the agents are able to shift energy demand within certain boundaries from (expensive) peak hours to those times of the day where energy demand and thus energy prices are lower in order to minimize their cost. Moreover, as our results show, this behavior leads to a smoothed load curve for the whole system, i.e. demand peaks are reduced while base load increases.}}
					

@Inproceedings{CitationKey,
author = {Block, C. and Neumann, D. and Weinhardt, C.},
title = {{A Market Mechanism for Energy Allocation in Micro-CHP Grids}},
booktitle = {Proceedings of the 41st Hawaii International Conference on System Sciences (HICSS)},
year = {2008},
pages = {172-172},
month = {Jan.},
abstract = {Achieving a sustainable level of energy production and consumption is one of the major challenges in our nowadays society. This paper contributes to the objective of increasing energy efficiency by introducing a market mechanism that facilitates the efficient matching of energy (i.e. electricity and heat) demand and supply in Micro Energy Grids. More precisely we propose a combinatorial double auction mechanism for the allocation and pricing of energy resources especially taking into account the specific requirements of energy producers and consumers. We describe the potential role of decentralized micro energy grids and their coupling to the large scale power grid. Furthermore we introduce an emergency fail over procedure that keeps the micro energy grid stable even in cases where the auction mechanism fails. As the underlying energy allocation problem itself is NP-hard, we derive a fast heuristic for finding efficient supply and demand allocations. In addition we show the applicability of this approach through numerica.}}
					

@Incollection{CitationKey,
author = {Block, Carsten and Neumann, Dirk},
title = {{A Decision Support System for Choosing Market Mechanisms in e-Procurement}},
booktitle = {Negotiation, Auctions, and Market Engineering},
publisher = {Springer},
year = {2008},
editor = {Gimpel, Henner and Jennings, Nicholas R. and Kersten and E., Gregory and Ockenfels and Axel and Weinhardt, Christof},
volume = {2},
pages = {44--57},
address = {Berlin, Heidelberg},
url = {http://dx.doi.org/10.1007/978-3-540-77554-6_3}}
					

@Inproceedings{CitationKey,
author = {Neumann, Dirk and Block, Carsten and Weinhardt, Christof and Karabulut, Y\"{u}cel},
title = {{Knowledge-Driven Selection of Market Mechanisms in E-Procurement}},
booktitle = {Proceedings of the 15th European Conference on Information Systems (ECIS’ 07)},
year = {2007},
address = {St. Gallen, Switzerland},
pages = {143-154},
month = {June},
abstract = {The variety of procurement mechanisms present in the nowadays e-procurement landscape ranging from electronic catalogue systems over e-negotiations to e-auctions, points at the fact that there exists no single best solution for all sourcing activities. Each mechanism rather has certain advantages and disadvantages. The discipline of economics has traditionally been devoted to the study of markets and market mechanisms. The fundamental lesson learned from economics is that even small changes in the exchange mechanisms can have considerable impact on the outcome. Stated differently, if the market engineer  intends  to  attain  a  certain  mechanism  outcome  (e.g.,  efficiency,  fairness,  revenue maximization), he can define the mechanism in a way that it induces the right incentives for market participants  to  act  as  desired  in  order  to  achieve  the  envisioned  outcome.  Unfortunately,  a comprehensive system that combines all relevant design aspects into one single knowledge-based decision  support  system  is  missing.  This  paper  introduces  such  a  system,  which  can  capture theoretical  and  empirical  results.  It  also  supports  the  design  of  procurement  mechanisms  by prescribing mechanism formats using an adapted case-based reasoning algorithm. The knowledge-
based system, KMS, is implemented in a web application as a proof-of-concept.}}
					

@Inproceedings{CitationKey,
author = {Kolitz, Klaus and Block, Carsten and Weinhardt, Christof},
title = {{meet2trade: An Electronic Market Platform and  Experiment System}},
booktitle = {Group Decision and Negotiation (GDN) 2007},
year = {2007},
address = {Montreal, Canada},
editor = {Kersten, G. E. and Rios, J. and Chen, E.},
abstract = {The development of new electronic markets is challenging, since many factors influence the market outcomes and hence the markets’ success. Even worse, a fundamental lesson learned from economics is that details matter: small changes in market design can have a significant impact on the behavior of the market participants and thus on the achieved outcomes. Consequently a well structured process for design, implementation, testing and maintenance of markets is required. meet2trade is a software tool suite designed to systematically support each step of such a Market Engineering (ME) process. This paper presents the generic trading platform meet2trade that enables users to individually configure their own electronic markets, to run them on the integrated auction server, and to evaluate them using the built-in full-featured lab experiment system.}}
					

@Inproceedings{CitationKey,
author = {Block, C. and Kersten, G. and Gimpel, H. and Weinhardt, C.},
title = {{Reasons for rejecting Pareto-improvements in negotiations}},
booktitle = {Group Decision and Negotiation (GDN) 2006},
year = {2006},
address = {International Conference, Karlsruhe, Germany, June 25-28, 2006},
editor = {Seifert, S. and Weinhardt, C.},
abstract = {On an abstract level, negotiators that mutually reached and accepted a non-optimal agreement in a bilateral negotiation should accept a Pareto-improvement of this agreement. None of the two parties would be harmed but at least one would benefit. However, many negotiators reject such well-meant assistance.  This paper empirically studies why this is the case.}}
					

@Conference{CitationKey,
author = {Block, Carsten and Collins, John and Filipova-Neumann, Lilia and Ketter, Wolfgang},
title = {{A competitive testbed for the development of intelligent agents in the energy domain}},
booktitle = {Proceedings of the 11th Group Decision and Negotiation Conference (GDN)},
year = {2010},
address = {Delft, The Netherlands}}
					

@Conference{CitationKey,
author = {Blau, Benjamin and Block, Carsten and St\"{o}\sser, Jochen},
title = {{How to trade Electronic Services? – Current Status and Open Questions}},
booktitle = {Proceedings of the Joint Conference of the INFORMS Section on Group Decision and Negotiation, the EURO Working Group on Decision and Negotiation Support, and the EURO Working Group on Decision Support Systems},
year = {2008},
address = {Coimbra, Portugal},
month = {June},
abstract = {Electronic Services become more and more important for our daily life. News and communication services are among the most prominent examples that drastically transformed the way we keep ourselves informed and relate to each other. But new application areas for electronic services such as grid computing, security and surveillance, ambient assisted living, or intelligent facility management especially with focus on energy optimization are already emerging. All these services are tradeable goods meant to add value to our daily life and thus come at a price. This is why in this paper we focus on research done and future research on mechanisms for trading services. Our main claim is that different types of services need different types of trading mechanisms. Thus, at first we classify electronic services into different categories and then describe suitbale trading mechanisms for each of these categories. Despite the work done already, a lot of additional research has to be accomplished in this particular field. We therefore conclude our paper with a roadmap for future research on how to trade services.}}
					

@Conference{CitationKey,
author = {Block, Carsten},
title = {{Price-Based Coordination in Decentralized Micro Power Grids}},
booktitle = {Group Decision and Negotiation (GDN) 2007},
year = {2007},
address = {Montreal, Canada},
editor = {Kersten, G. E. and Rios, J. and Chen, E.}}
					

@Conference{CitationKey,
author = {Block, Carsten and Chen, Eva},
title = {{Fast Prototyping of Electronic Agents for the Web}},
booktitle = {Group Decision and Negotiation (GDN) 2007},
year = {2007},
address = {Montreal, Canada},
editor = {Kersten, G. E. and Rios, J. and Chen, E.},
abstract = {During the last years, a significant amount of research has been focused on the field of software agents and agent-based systems for e-negotiations. In many of these projects, specific solutions were developed to provide artificial testbeds for agents interacting with humans or other agents (Collis 1998, Howden 2001, Bellifemine 2003, Chen 2005). On the one hand, this approach usually ensures that all environmental parameters can be controlled (e.g., pertaining to a specific task, limiting time for negotiations, taking place in a laboratory) in order isolate the effects of agents on the dependent variables (e.g., economic outcome, subjective assessment of the agent, satisfaction with results, etc). On the other hand, the external validity of such experiments can be challenged as e.g. real negotiations do not involve contrived cases, are not limited to a specific time frame, and are especially subjected to influences of the on-line medium as well as the e-negotiation system (ENS). Recent experiment results further suggest that the “system matters quite a lot”, in that the ENS plays an integral role in shaping people’s perceptions and economic outcomes (Kolitz 2007). In this paper, we present an approach for implementing electronic software agents capable of interacting with virtually every web-based application available on the Internet. A distinct advantage of our method is the minimal effort required for creating such agents, which allows software engineers to focus on developing the agent’s strategies instead of having to handle the complications involved in the implementation of complex communication and message exchange interfaces. As a proof-of-concept, this paper describes an implementation for a simple agent capable of autonomously acting in a bilateral negotiation protocol on the Invite  negotiation support system.}}
					

@Techreport{CitationKey,
author = {Dietz, Benjamin and Ahlert, Henning and Block, Carsten},
title = {{Driving Profile Generator}},
year = {2010},
institution = {Institut of Information Systems and Management, Karlsruhe Institute of Technology},
type = {IISM Techreport},
address = {Karlsruhe, Germany},
month = {June}}
					

@Techreport{CitationKey,
author = {Block, Carsten and Collins, John and Ketter, Wolfgang and Weinhardt, Christof},
title = {{A Multi-Agent Energy Trading Competition}},
year = {2009},
institution = {RSM Erasmus University},
number = {ERS-2009-054-LIS},
address = {Rotterdam, The Netherlands},
month = {11},
note = {Last revised 2010/05/01},
url = {http://hdl.handle.net/1765/17337},
abstract = {The energy sector will undergo fundamental changes
  over the next ten years. Prices for fossil energy resources are
  continuously increasing, there is an urgent need to reduce CO2
  emissions, and the United States and European Union are strongly
  motivated to become more independent from foreign energy imports.
  These factors will lead to installation of large numbers of
  distributed renewable energy generators, which are often
  intermittent in nature. This trend conflicts with the current
  power grid control infrastructure and strategies, where a few
  centralized control centers manage a limited number of large power
  plants such that their output meets the energy demands in real
  time. As the proportion of distributed and intermittent generation
  capacity increases, this task becomes much harder, especially as
  the local and regional distribution grids where renewable energy
  generators are usually installed are currently virtually
  unmanaged, lack real time metering and are not built to cope with
  power flow inversions (yet). All this is about to change, and so
  the control strategies must be adapted accordingly. While the
  hierarchical command-and-control approach served well in a world
  with a few large scale generation facilities and many small
  consumers, a more flexible, decentralized, and self-organizing
  control infrastructure will have to be developed that can be
  actively managed to balance both the large grid as a whole, as
  well as the many lower voltage sub-grids. We propose a competitive
  simulation test bed to stimulate research and development of
  electronic agents that help manage these tasks. Participants in
  the competition will develop intelligent agents that are
  responsible to level energy supply from generators with energy
  demand from consumers. The competition is designed to closely
  model reality by bootstrapping the simulation environment with
  real historic load, generation, and weather data. The simulation
  environment will provide a low-risk platform that combines
  simulated markets and real-world data to develop solutions that
  can be applied to help building the self-organizing intelligent
  energy grid of the future.}}
					

@Article{CitationKey,
author = {Schoenfeld, Anton  and Block, Carsten A.},
title = {{A Meta-Framework for Agile Development of Soa Market Platforms}},
journal = {SSRN eLibrary Working Paper Series},
year = {2009},
month = {May},
url = {http://ssrn.com/abstract=1600078},
abstract = {Markets – and in particular auction markets – are usually known to be efficient mechanisms for information aggregation and for the allocation of goods and services. But a fundamental lesson learned from Economics is that market design matters. Even small changes in market rules may lead to significantly different outcomes. Thus a good design, implementation, and validation of a market mechanism poses a big challenge to market engineers, which cannot be mastered without appropriate engineering approach accompanied by appropriate supporting tools. In this paper we describe the tools available in the area of Market Engineering and analyze their strengths and weaknesses. Also we propose a new approach towards building market mechanisms that offers market engineers a new degree of agility and freedom during the design and implementation phases. The new approach follows the principles of service-oriented architectures and agile model driven development. Furthermore, we present three different case studies where the new framework was successfully applied for the fast implementation of new electronic market platforms and we present results from a complexity analysis as well as from a preliminary technology acceptance survey among a small group of market engineers.}}
					

@Techreport{CitationKey,
author = {Block, C. and Bomarius, F. and Bretschneider, P. and Briegel, F. and Burger, N. and Fey, B. and Frey, H. and Hartmann, J. and Kern, C. and Plail, B. and Praehauser, G. and Schetters, L. and Sch\"{o}pf, F. and Schumann, D. and Schwammberger, F. and Terzidis, O. and Thiemann, R. and van Dinther, C. and von Sengbusch, K. and Weidlich, A. and Weinhardt, C.},
title = {{Internet der Energie - IKT f\"{u}r die Energiem\"{a}rkte der Zukunft}},
year = {2008},
institution = {Bundesverband der Deutschen Industrie e.V. (BDI)},
type = {BDI-Drucksache},
number = {418},
month = {12},
url = {http://www.bdi.eu/download_content/InformationUndTelekommunikation/Broschuere_Internet_der_Energie.pdf},
abstract = {Drei ma\ssgebliche Einflussfaktoren wirken derzeit auf die Energiewirtschaft ein und erfordern den Umbau in ein intelligentes und effizientes Versorgungssystem, das deutlich st\"{a}rker als bisher durch Informations- und Kommunikationstechnologien (IKT) vernetzt sein muss. 

Der erste Faktor ist die versch\"{a}rfte Knappheitssituation: Die Vorr\"{a}te fossiler Energierohstoffe sind endlich und erleben deswegen schon heute starke Preissteigerungen; auch die Kapazit\"{a}t, bis zu der die Atmosph\"{a}re CO2 aufnehmen kann, ohne dass ein Klimadesaster droht, ist ausgereizt und begr\"{u}ndet erhebliche Anstrengungen in einen aktiven Klimaschutz. Um diesen drohenden Grenzen des
Energiesystems einerseits sowie dem gleichzeitig weltweit steigenden Energiebedarf andererseits zu begegnen, ist eine erheblich verbesserte Effizienz bei der Energienutzung dringend erforderlich.

Zweitens stellt das ver\"{a}nderte regulatorische Umfeld erh\"{o}hte Anforderungen an die datentechnische Vernetzung des Energiesystems. Durch die Entkopplung von Stromerzeugung, -\"{u}bertragung und -verteilung m\"{u}ssen
unterschiedliche Akteure entlang der Wertsch\"{o}pfungskette \"{u}ber gemeinsame Schnittstellen miteinander kommunizieren und interagieren. Neue Vorschriften zur Standardisierung, zum Messwesen und zur Verbrauchstransparenz erzeugen zudem gro\sse Datenmengen, die in intelligenten automatisierten Prozessen verarbeitet werden m\"{u}ssen.

Als dritter Faktor schlie\sslich bewirken technische Entwicklungen und steigende Energiepreise, dass in Zukunft vermehrt Strom aus erneuerbaren Energiequellen sowohl auf Basis einer verst\"{a}rkt dezentralen als auch aus einer weiterhin vorhandenen zentralen Versorgungsstruktur in das Stromnetz integriert werden m\"{u}ssen. Dies erfordert ein wesentlich h\"{o}heres Ma\ss an Flexibilit\"{a}t im Bereich der Spannungshaltung und der effizienten Lastflusssteuerung als im derzeitigen System vorgesehen ist.

Diese drei treibenden Faktoren wirken zu einer Zeit, in der ein erheblicher Investitionsbedarf in das deutsche und europ\"{a}ische Stromversorgungssystem besteht. Nahezu die H\"{a}lfte der installierten Kraftwerkskapazit\"{a}t in Deutschland muss in den kommenden Jahren ersetzt oder modernisiert werden, der massive Ausbau der Stromnetze wird im gleichen Zeitraum ebenfalls erfolgen m\"{u}ssen. Parallel wird
ein erheblicher Teil der privaten Haushalte renovierungsbed\"{u}rftig. Aufgrund steigender Energiepreise werden bei den hier anstehenden Instandsetzungsarbeiten zunehmend neue Energiespartechnologien und kommunikative Endger\"{a}te eingesetzt.

Angesichts dieses Investitionspotenzials besteht die einmalige Chance, einen \"{U}bergang des derzeitigen Energiesystems hin zu einem Internet der Energie zu f\"{o}rdern, in dem durch die intelligente Koordination zwischen Erzeugung und Verbrauch h\"{o}chstm\"{o}gliche Effizienzgewinne bei der Nutzung knapper Energieressourcen erreicht werden k\"{o}nnen. Die notwendigen Technologien f\"{u}r die intelligente und effiziente Erneuerung des Energiesystems sind heute weitestgehend vorhanden. Die Kombination und Integration der verf\"{u}gbaren Systeme ist jedoch noch weit hinter den M\"{o}glichkeiten zur\"{u}ckgeblieben. Es bedarf demnach vor allem einer Weichenstellung bei den beteiligten Industrien und der Politik, die sich auf Handlungsma\ssnahmen und auch auf technische Standards einigen m\"{u}ssen, um den anstehenden Ver\"{a}nderungsprozess aktiv und zielgerichtet zu gestalten.

Der Informations- und Kommunikationstechnologie kommt bei der Entwicklung einer zukunftsf\"{a}higen Energieversorgung eine Schl\"{u}sselrolle zu. Sie ist die Basis f\"{u}r die Realisierung eines zuk\"{u}nftigen Internets der Energie, das hei\sst der intelligenten elektronischen Vernetzung aller Komponenten des Energiesystems. Durch diese verst\"{a}rkte Vernetzung k\"{o}nnen Erzeugungsanlagen, Netzkomponenten, Verbrauchsger\"{a}te und Nutzer des Energiesystems untereinander Informationen austauschen und selbstst\"{a}ndig ihre Prozesse aufeinander abstimmen und optimieren. So entwickelt sich das bisherige Energienetz mit passiven, informationsarmen Komponenten und einer \"{u}berwiegenden Einweg-Kommunikation hin zu einem marktorientierten, dienstebasierten und dezentral organisierten System, in dem interaktive Optimierungsm\"{o}glichkeiten
und neue Energiedienstleistungen geschaffen werden k\"{o}nnen. Durch einen verst\"{a}rkten Einsatz von energetisch optimierender Hausautomation und von Smart Metering haben Privatkunden, \"{o}ffentliche Einrichtungen und auch kleine und mittlere Unternehmen die M\"{o}glichkeit, ihren Energieverbrauch zu reduzieren oder zeitlich so zu verschieben, dass Lastspitzen und Engpasssituationen vermieden werden. Verbesserte Energiemanagementsysteme auf der \"{U}bertragungs- und Verteilnetzebene erm\"{o}glichen, dass dezentrale Erzeugung und erneuerbare Energiequellen im gro\ssen Ma\ssstab optimal eingesetzt werden k\"{o}nnen, ohne dabei die
Systemstabilit\"{a}t und -qualit\"{a}t zu beeintr\"{a}chtigen. Die gr\"{o}\sste Herausforderung besteht indes darin, eine Integrationsebene zwischen betriebswirtschaftlichen Anwendungen und dem physikalischen Netz zu schaffen, welche eine Kommunikation komplexer, \"{u}ber heterogene Netze und Firmengrenzen hinweg verteilter IT-Komponenten erm\"{o}glicht.

Der \"{U}bergang des derzeitigen Energiesystems hin zu einem Internet der Energie l\"{a}sst eine Vielzahl m\"{o}glicher neuer Gesch\"{a}ftsmodelle entstehen. Stromnetzbetreiber k\"{o}nnen sich zuk\"{u}nftig vermehrt zu Informationsdienstleistern entwickeln; neue Dienstleistungen, wie beispielsweise das Energiemanagement beim Kunden, werden entstehen. Neue Akteure werden in den Markt eintreten, zum Beispiel Betreiber von virtuellen Regelenergiekraftwerken. Durch eine an das Energieangebot angepasste Einbindung von (hybriden) Elektroautos bietet sich zuk\"{u}nftig auch f\"{u}r den Transportsektor eine neue M\"{o}glichkeit, aktiv an der Optimierung der Energienetze mitzuwirken.

Als konkrete Handlungsempfehlungen zur Erschlie\ssung dieser neuen Gesch\"{a}ftsfelder und zur Verwirklichung eines zukunftsf\"{a}higen intelligenten Energiesystems werden im Rahmen dieses Papiers Ma\ssnahmen auf mehreren Ebenen vorgeschlagen. Auf der technischen Ebene muss ein starker Fokus auf der Koordination der Standardisierung in der Informations-, Kommunikations- und Energietechnik liegen, die insbesondere eine durchg\"{a}ngige bidirektionale Kommunikation zwischen Stromerzeugung und Endverbrauchern unterst\"{u}tzt. Neben der F\"{o}rderung der Grundlagenforschung und Ausbildung in den relevanten technik- und wirtschaftswissenschaftlichen Disziplinen ist insbesondere auch die F\"{o}rderung von Initiativen zur angewandten Forschung und zur Pilotierung des Internets der Energie erforderlich, um Konzepte zu erproben und Erkenntnisse aus der Forschung in den laufenden Transformationsprozess der Energiewirtschaft einzubringen. Um sicherzustellen, dass die innovativen Konzepte einer intelligenten und effizienten Energieversorgung auch tats\"{a}chlich zum Einsatz kommen, m\"{u}ssen nachhaltige Innovationsanreize insbesondere f\"{u}r Netzbetreiber geschaffen werden. In diesem Bereich muss die Regulierung entsprechend gestalterisch eingreifen. Schlie\sslich ist eine geeignete \"{O}ffentlichkeitsarbeit erforderlich, um alle relevanten Akteure dar\"{u}ber zu informieren, wie sie zur Umsetzung der Vision des Internets der Energie beitragen k\"{o}nnen.

Die identifizierten Handlungsempfehlungen k\"{o}nnen wesentlich dazu beitragen, das heutige Energiesystem zu einer noch effizienteren, zukunftsf\"{a}higen Energieversorgungsinfrastruktur zu entwickeln und damit die
internationale Spitzenposition deutscher Unternehmen und Forschungseinrichtungen im Bereich intelligenter und integrierter Energietechnologien zu st\"{a}rken und auszubauen.}}
					

@Techreport{CitationKey,
author = {van Dinther, C. and Weidlich, A. and Block, C.},
title = {{Energiem\"{a}rkte der Zukunft }},
year = {2006},
institution = {Universit\"{a}t Karlsruhe (TH)},
type = {White Paper},
address = {Karlsruhe, Germany}}