Management of Real-time Energy Data

Risultati finali

MORE Platform and Applications - Initial version
Data transfer module Initial Version

Data transfer module Initial Version O MOD M14

Pattern extraction methods - Initial Version

Pattern extraction methods Initial Version ATHENA M14 Other PU The deliverable comprises both software prototype and the relevant report

Complex event detection module - Initial Version

Complex event detection module Initial Version ATHENA M18 Other PU The deliverable comprises both software prototype and the relevant report

Code and Documentation

Code and Documentation of selected modules for public release

Cloud Model Storage and Query Engine module - Final Version

Cloud Model Storage and Query Engine module Final Version [MOD – M38], (Other, PU). The deliverable comprises both software prototype and the relevant report

Edge analytics engine - Final Version

Edge analytics engine (O) [IBM – Initial version M14, Final Version M30]

Edge analytics engine - Initial Version
Edge data ingestion module - Initial Version

Edge data ingestion module -Initial Version

Core AI Models - Initial version

Core AI Models Initial version

Visual Analytics Module - Final Version

Visual Analytics Module Final Version [ATHENA – M36], (Other, PU). The deliverable comprises both software prototype and the relevant report

Complex event detection module - Final Version

Complex event detection module Final Version [ATHENA – M36] (Other, PU). The deliverable comprises both software prototype and the relevant report

Edge query engine - Final Version

Edge query engine - Final Version (O) [MOD – M38]

Edge query engine - Initial Version

Edge query engine Initial Version (O) [MOD – M12]

Cloud Model Storage and Query Engine module - Initial Version

Cloud Model Storage and Query Engine module Initial Version MOD M14 Other PU The deliverable comprises both software prototype and the relevant report

Edge data ingestion module -Final Version

Edge data ingestion module (O) [AAU – Initial version M8, Final Version M24]

Visual Analytics Module - Initial Version

Visual Analytics Module - Initial Version [ATHENA – M18], (Other, PU). The deliverable comprises both software prototype and the relevant report

Data transfer module Final Version

Data transfer module Final Version (O) [MOD – M39]

Pattern extraction methods - Final Version

Pattern extraction methods Final Version [ATHENA – M33] (Other, PU) The deliverable comprises both software prototype and the relevant report

Core AI Models - Final Version

Core AI Models Python Software IBM Initial version M12 Final Version M18 PU

MORE Platform and Applications - Final version

MORE Platform and Applications – Other [ATHENA –Initial version M24, Final Version M39]

Data models - Initial Version

First version of data models

Use Cases and Requirements

Use Cases and Requirements -Report [INACCESS - M6]

Technical platform design

Technical platform design Report ATHENA M12

Intermediate Dissemination & Communication Activities Report

Intermediate Dissemination Communication Activities Report AAU M18

Final Dissemination & Communication Activities Report

Final Dissemination & Communication Activities Report [AAU - M39]

Pilot design, and evaluation strategy

Pilot design, and evaluation strategy – Report (SGRE) - M29

Capacity Building & Standardization Activities Report 
Data models - Final Version

Data models (R) [AAU – Initial version M8, Final Version M33]

Pubblicazioni

A Two-layer Partitioning for Non-point Spatial Data

Autori: Dimitrios Tsitsigkos, Konstantinos Lampropoulos, Panagiotis Bouros, Nikos Mamoulis, Manolis Terrovitis
Pubblicato in: 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021, Pagina/e 1787-1798
Editore: IEEE Computer Society
DOI: 10.1109/icde51399.2021.00157

Distributed Incremental Machine Learning for Big Time Series Data

Autori: Salwala, Dhaval and Tirupathi, Seshu and Quanz, Brian and Gifford, Wesley M. and Siegel, Stuart and Ekambaram, Vijay and Jati, Arindam
Pubblicato in: 2022 IEEE International Conference on Big Data Industry and Government Program, 2022
Editore: IEEE
DOI: 10.1109/bigdata55660.2022.10020361

Prequential Model Selection for Time Series Forecasting based on Saliency Maps

Autori: S. Tomar, S. Tirupathi, D. V. Salwala, I. Dusparic and E. Daly
Pubblicato in: IEEE International Conference on Big Data Workshop Title: 7th Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP & Stream Data Management in Big Data, 2022, ISSN 3383-3392
Editore: IEEE
DOI: 10.1109/bigdata55660.2022.10020769

Holistic Analytics of Sensor Data from Renewable Energy Sources: A Vision Paper

Autori: Søren Kejser Jensen & Christian Thomsen
Pubblicato in: ADBIS (Short Papers) 2023, 2023
Editore: Springer
DOI: 10.1007/978-3-031-42941-5_31

Efficient Nearest Neighbor Queries on Non-point Data

Autori: Michalopoulos, Achilleas and Tsitsigkos, Dimitrios and Bouros, Panagiotis and Mamoulis, Nikos and Terrovitis, Manolis}
Pubblicato in: Proceedings of the International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL), 2023
Editore: Association for Computing Machinery
DOI: 10.1145/3589132.3625609

A Tool for Visual Exploration and Analysis of Solar Photovoltaic Module Data

Autori: Vassilis Stamatopoulos, Stavros Maroulis, Konstantinos Kozanis, Ioannis Psarros, George Papastefanatos, Giorgos Giannopoulos, Manolis Terrovitis
Pubblicato in: Advances in Database Technology - Volume 26 Proceedings 26th International Conference on Extending Database Technology, 2023
Editore: OpenProceedings

Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data

Autori: Tirupathi, Seshu and Salwala, Dhaval and Zizzo, Giulio and Rawat, Ambrish and Purcell, Mark and Kejser Jensen, Søren and Thomsen, Christian and Ho, Nguyen and Muniz Cuza, Carlos E. and Brusokas, Jonas and Bach Pedersen, Torben and Alexiou, Giorgos and Giannopoulos, Giorgos and Gidarakos, Panagiotis and Kalimeris, Alexandros and Maroulis, Stavros and Papastefanatos, George and Psarros, Ioannis and
Pubblicato in: 2022 IEEE International Conference on Big Data Workshop IWBDR-3, 2022
Editore: IEEE
DOI: 10.1109/bigdata55660.2022.10020540

Tight Bounds for Approximate Near Neighbor Searching for Time Series under the Fréchet Distance

Autori: Bringmann, K.; Driemel, A.; Nusser, A.; Psarros, I.
Pubblicato in: Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 2022, Pagina/e 517-550
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611977073.25

Random projections for curves in high dimensions

Autori: Psarros, Ioannis; Rohde, Dennis
Pubblicato in: Proceedings of 39th International Symposium on Computational Geometry 2023, Numero 13, 2023
Editore: Leibniz International Proceedings in Informatics (LIPIcs)
DOI: 10.4230/lipics.socg.2023.53

A Content Recommendation Policy for Gaining Subscribers

Autori: Theocharidis, Konstantinos; Terrovitis, Manolis; Skiadopoulos, Spiros; Karras, Panagiotis
Pubblicato in: Theocharidis , K , Terrovitis , M , Skiadopoulos , S & Karras , P 2022 , A Content Recommendation Policy for Gaining Subscribers . in SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval . Association for Computing Machinery , pp. 2501-2506 , 45th Annual International ACM SIGIR Conference on Research and Development in Informa, Numero 10, 2022
Editore: ACM
DOI: 10.1145/3477495.3531885

Efficient and Distributed Temporal Pattern Mining

Autori: Ho, Nguyen and Ho, Van Long and Bach Pedersen, Torben and Vu, Mai
Pubblicato in: 2021 IEEE International Conference on Big Data (Big Data), 2021
Editore: IEEE
DOI: 10.1109/bigdata52589.2021.9671753

Next generation energy data management platforms: the MORE project Gregory Kotsis, George Konstantoulakis, Gregory Doumenis Emerging Tech Conference - Edge Intelligence (ETCEI 2022) Yes

Autori: Gregory Kotsis, George Konstantoulakis, Gregory Doumenis
Pubblicato in: Emerging Tech Conference - Edge Intelligence (ETCEI 2022), 2022
Editore: ETCEI

Extreme-Scale Model-Based Time Series Management with ModelarDB (Invited Talk)

Autori: Torben Bach Pedersen
Pubblicato in: 28th International Symposium on Temporal Representation and Reasoning, TIME 2021, September 27-29, 2021, Klagenfurt, Austria., Numero 206, 2021, Pagina/e 2:1-2:2, ISBN 978-3-95977-206-8
Editore: Schloss Dagstuhl. Leibniz-Zentrum für Informatik
DOI: 10.4230/lipics.time.2021.2

Spatio-temporal graph convolutional network for stochastic traffic speed imputation

Autori: Carlos Enrique Muniz Cuza Nguyen Ho Eleni Tzirita Zacharatou Torben Bach Pedersen Bin Yang
Pubblicato in: ACM SIGSPATIAL’22, 2022
Editore: Association for Computing Machinery
DOI: 10.1145/3557915.3560948

Federated Continual Learning with Differentially Private Data Sharing

Autori: Mirwais Ahmadzai and Giang Nguyen
Pubblicato in: Procedia Computer Science, 2023
Editore: Elsevier B.V.
DOI: 10.1016/j.procs.2023.10.039

Evaluating the Impact of Error-Bounded Lossy Compression on Time Series Forecasting

Autori: Carlos Enrique Muniz Cuza, Søren Kejser Jensen, Jonas Brusokas, Nguyen Ho, Torben Bach Pedersen
Pubblicato in: Proceedings of the 27th International Conference on Extending Database Technology (EDBT), 2024
Editore: EDBT

Approximating Length-Restricted Means under Dynamic Time Warping

Autori: Buchin, Maike; Driemel, Anne; van Greevenbroek, Koen; Psarros, Ioannis; Rohde, Dennis
Pubblicato in: Proceedings of Approximation and Online Algorithms - 20th International Workshop, 2022, Numero 9, 2022, ISBN 978-3-031-18367-6
Editore: Springer
DOI: 10.1007/978-3-031-18367-6_12

Scalable Distributed Computing Systems for Incremental Machine Learning in Big Data Applications

Autori: Salwala, D., Tirupathi, S., Quanz, B., Gifford, W., & Siegel, S.
Pubblicato in: INFORMS 2022, 2022
Editore: INFORMS

Mining Seasonal Temporal Patterns in Time Series

Autori: Van Long Ho; Nguyen Ho; Torben Bach Pedersen
Pubblicato in: 2023
Editore: IEEE
DOI: 10.1109/icde55515.2023.00174

Two-Layer Space-Oriented Partitioning for Non-Point Data

Autori: Dimitrios Tsitsigkos; Panagiotis Bouros; Konstantinos Lampropoulos; Nikos Mamoulis; Manolis Terrovitis
Pubblicato in: IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, ISSN 1041-4347
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tkde.2023.3297975

Goal-Oriented Scheduling in Sensor Networks With Application Timing Awareness

Autori: J. Holm, F. Chiariotti, A. E. Kalør, B. Soret, T. B. Pedersen and P. Popovski
Pubblicato in: IEEE Transactions on Communications ( Volume: 71, Numero: 8), 2023, ISSN 1558-0857
Editore: IEEE
DOI: 10.1109/tcomm.2023.3282256

Efficient temporal pattern mining in big time series using mutual information

Autori: Van Long Ho, Nguyen Ho, Torben Bach Pedersen
Pubblicato in: Proc. VLDB Endow., 2021, Pagina/e 673–685, ISSN 2150-8097
Editore: VLDB Endowment
DOI: 10.14778/3494124.3494147

Data-Driven Soiling Detection in PV Modules

Autori: Alexandros Kalimeris; Ioannis Psarros; Giorgos Giannopoulos; Manolis Terrovitis; George Papastefanatos; Gregory Kotsis
Pubblicato in: IEEE Journal of Photovoltaics, Numero 13, 2023, Pagina/e 461 - 466, ISSN 2156-3403
Editore: IEEE
DOI: 10.1109/jphotov.2023.3243719

ModelarDB: Integrated Model-Based Management of Time Series from Edge to Cloud

Autori: Søren Kejser Jensen; Christian Thomsen; Torben Bach Pedersen
Pubblicato in: Jensen , S K , Thomsen , C & Pedersen , T B 2023 , ModelarDB: Integrated Model-Based Management of Time Series from Edge to Cloud . in Transactions on Large-Scale Data- and Knowledge-Centered Systems LIII . Springer , Transactions on Large-Scale Data- and Knowledge-Centered Systems , Lecture Notes in Computer Science , vol. 13840 , pp. 1-33 . https://doi.org/10.1007/978-3-662-66863-4_1, Numero 4, 2023
Editore: Springer
DOI: 10.1007/978-3-662-66863-4_1

Risultati finali

Pubblicazioni

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