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What are the Most Important Research Challenges inEnergy Data Management? (panel)

Torben Bach PedersenAalborg Universitytbp@cs.aau.dk

ABSTRACTThis panel paper aims at initiating discussion at theFourth International Workshop on Energy Data Manage-ment (EnDM 2015) about what the most important researchchallenges within Energy Data Management are. The authoris the panel organizer, extra panelists will be recruited fromthe workshop audience.

KeywordsEnergy Data Management

1. RESEARCH CHALLENGESThe panel should try to answer (at least) the following ques-tions:

What are the research challenges within energy datamanagement?

What are their nature (scientific, technical, interdisci-plinary,..) ?

Which ones are the most interesting from a scientific

point of view?

Which ones are the most important from a societalpoint of view?

Below, some of the panel organizers personal opinions onthese questions are listed.

Research challenges within energy data management areabundant. Among the important scientific ones are a) themodeling and management of energy flexibilities, includingmore powerful flexibility models as well as scalable tech-niques for aggregating, scheduling, and disaggregating flex-ibilities; b) creating open and realistic benchmarks with as-

sociated open datasets; and c) development of robust and

(c) 2015, Copyright is with the authors. Published in the Workshop Pro-ceedings of the EDBT/ICDT 2015Joint Conference (March 27, 2015, Brus-sels, Belgium) on CEUR-WS.org (ISSN 1613-0073). Distribution of thispaper is permitted under the terms of the Creative Commons license CC-by-nc-nd 4.0.

effective methods and techniques for predicting and fore-casting energy consumption and production, as well as theirassociated flexibilities, at a very fine-grained level.

Technical research challenges include d) creating commu-nity-wide agreed-upon common definitions of data and in-formation concepts, e.g., standardized ontologies specifyingcommon concepts and e) the standardization of communica-tion protocols, e.g., for communicating available flexibilities.

Interdisciplinary challenges, which are perhaps the most im-portant from a societal point of view, include f) the inter-play between hardcore data management techniques/toolsand user-oriented human-computer interaction concepts todetermine how and at which level of detail to interact witha smart grid system; and g) realizing the economic potentialin energy data management systems by inventing, imple-menting, and taking to market new economics-based busi-ness models and energy taxation schemes that can ensurethe (financial) interest, and thus the participaton, of all themany involved parties in solving the challenge of using veryhigh rates of renewable energy in the grid. An example ofsuch interdisciplinary collaborations is found in the Danish

Totalflex projectwww.totalflex.dk.

2. PANEL ORGANIZER

Prof. Torben Bach Pedersen is full professor of com-puter science at Aalborg University, Denmark. He receivedhis Ph.D. in 2000. His research interests span Big Dataand business intelligence topics such as data warehousing,multidimensional databases, OLAP, and data mining, witha focus on non-traditional and complex types of data. Hehas published more than 140 peer-reviewed papers on thesetopics. He has served as PC Chair for DaWaK 2009+10,DOLAP 2010, and SSDBM 2014, General Chair for SSTD2009, and on numerous program committees, including SIG-MOD, (P)VLDB, ICDE, and EDBT. He has worked on

energy data management since 2007, was involved in theMIRABEL EU FP7 project on energy data management,as is now leading the research in the large interdisciplinaryDanish project, TotalFlex.

http://www.totalflex.dk/http://www.totalflex.dk/