The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems
Context-aware parameter estimation for forecast models in the energy domain
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
Aggregating and disaggregating flexibility objects
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
Optimizing notifications of subscription-based forecast queries
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
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
Research challenges for energy data management (panel)
Proceedings of the Joint EDBT/ICDT 2013 Workshops
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Forecasting in hierarchical environments
Proceedings of the 25th International Conference on Scientific and Statistical Database Management
pEDM: online-forecasting for smart energy analytics
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Efficient forecasting for hierarchical time series
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Nowadays, Renewable Energy Sources (RES) are attracting more and more interest. Thus, many countries aim to increase the share of green energy and have to face with several challenges (e.g., balancing, storage, pricing). In this paper, we address the balancing challenge and present the MIRABEL project which aims to prototype an Energy Data Management System (EDMS) which takes benefit of flexibilities to efficiently balance energy demand and supply. The EDMS consists of millions of heterogeneous nodes that each incorporates advanced components (e.g., aggregation, forecasting, scheduling, negotiation). We describe each of these components and their interaction. Preliminary experimental results confirm the feasibility of our EDMS.