BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
A foundation for capturing and querying complex multidimensional data
Information Systems - Data warehousing
Efficient Algorithms for Large-Scale Temporal Aggregation
IEEE Transactions on Knowledge and Data Engineering
Aggregation computation over complex objects
Aggregation computation over complex objects
Incremental computation and maintenance of temporal aggregates
The VLDB Journal — The International Journal on Very Large Data Bases
Statistical grid-based clustering over data streams
ACM SIGMOD Record
Main Memory-Based Algorithms for Efficient Parallel Aggregation for Temporal Databases
Distributed and Parallel Databases
How Would You Like to Aggregate Your Temporal Data?
TIME '06 Proceedings of the Thirteenth International Symposium on Temporal Representation and Reasoning
Resource sharing in continuous sliding-window aggregates
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications (Data-Centric Systems and Applications)
Continuous Clustering of Moving Objects
IEEE Transactions on Knowledge and Data Engineering
Continuous k-Means Monitoring over Moving Objects
IEEE Transactions on Knowledge and Data Engineering
Parsimonious temporal aggregation
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Aggregate Location Monitoring for Wireless Sensor Networks: A Histogram-Based Approach
MDM '09 Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware
SimDB: a similarity-aware database system
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
A clustering algorithm based on matrix over high dimensional data stream
WISM'10 Proceedings of the 2010 international conference on Web information systems and mining
Specifying aggregation functions in multidimensional models with OCL
ER'10 Proceedings of the 29th international conference on Conceptual modeling
Incremental aggregation on multiple continuous queries
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Multi-dimensional aggregation for temporal data
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
Data management in the MIRABEL smart grid system
Proceedings of the 2012 Joint EDBT/ICDT Workshops
MIRABEL DW: managing complex energy data in a smart grid
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
Daisy: the center for data-intensive systems at Aalborg University
ACM SIGMOD Record
Visualizing complex energy planning objects with inherent flexibilities
Proceedings of the Joint EDBT/ICDT 2013 Workshops
Towards the automated extraction of flexibilities from electricity time series
Proceedings of the Joint EDBT/ICDT 2013 Workshops
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Flexibility objects, objects with flexibilities in time and amount dimensions (e.g., energy or product amount), occur in many scientific and commercial domains. Managing such objects with existing DBMSs is infeasible due to the complexity, data volume, and complex functionality needed, so a new kind of flexibility database is needed. This paper is the first to consider flexibility databases. It formally defines the concept of flexibility objects (flex-objects), and provide a novel and efficient solution for aggregating and disaggregating flex-objects. This is important for a range of applications, including smart grid energy management. The paper considers the grouping of flex-objects, alternatives for computing aggregates, the disaggregation process, their associated requirements, as well as efficient incremental computation. Extensive experiments based on data from a real-world energy domain project show that the proposed solution provides good performance while still satisfying the strict requirements.