Deliverables and Publications

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Deliverables

# Deliverable Title Delivery Date Report
WP1 – Requirements and Reference Architecture
D1.1 Energy Efficient Technologies State-of-the-art Survey M4  Link
D1.2 ENTROPY Technical Requirements M6  Link
D1.3 ENTROPY Energy Efficiency Requirements M6  Link
D1.4 ENTROPY Reference Architecture M9  Link
D1.5 Pilots, Performance Evaluation Methods and Acceptance Criteria M9  Link
WP2 – Energy Data Modeling, Fusion and Analytics
D2.1 Description of the Energy-Aware Infrastructure Monitoring Parameters’ Data Model M12  Link
D2.2 Design of Wireless Sensor Networking and Data Fusion Mechanisms M15  Link
D2.3 Description of Mobile Crowd Sensing Mechanisms M15  Link
D2.4 Description of Energy Use Data Patterns Recognition and Analytics Mechanisms M18   Link
WP3 – Behavioural Recommendation and Gamification Framework
D3.1 Description of the Citizens Environmental Friendly Behavioural Semantic Model M12  Link
D3.2 Description and Deployment of the Environmental Friendly Lifestyle Recommenders M18  Link
D3.3 Description and Deployment of the Gamification Framework   M18  Link
WP4 – ENTROPY Platform Integration and Testing
D4.1 Deployment of Energy Data Analytics Reporting and Visualisation Framework M26 Link
D4.2 Deployment of ENTROPY Personalised Mobile and Social Applications M26 Link
D4.3 Deployment of ENTROPY Serious Games M26 Link
D4.4 ENTROPY Platform Technical Evaluation and Quality Assurance M27 Confidential
D4.5 Integrated ENTROPY Platform M30 Confidential
D4.6 ENTROPY Platform Final Release M36  Link
WP5 – Pilots Orchestration, Execution and Socioeconomic Impact
D5.1 ENTROPY Pilots Target group Enrolment and  Infrastructural Deployment M28  Link
D5.2 ENTROPY Platform Pilot Deployment and Configuration M30 Confidential
D5.3 Performance Evaluation and Lessons Learnt M36  Link
D5.4 Socioeconomic Impact of the adoption of ENTROPY IT ecosystem M36  Link
WP6 – Exploitation, Dissemination and Communication
D6.1 Communication Roadmap M3 Confidential
D6.2 Data Management Plan M6   Link
D6.3 Data Management Plan Implementation M36  Link
D6.4 Y1 Dissemination, Communications Activities Report M12  Link
D6.5 Y2 Dissemination, Communications Activities Report M24  Link
D6.6 Y3 Dissemination, Communications Activities Report M36  Link
D6.7 Initial IPR Management & Exploitation Plan M12 Confidential
D6.8 Final IPR Management & Exploitation Plan M36 Confidential
D6.9 Initial Scientific Workshop Report and Cleanweb Solutions Interest Group Setup and Activities M22  Link
D6.10 Final Scientific Workshop Report and Cleanweb Solutions Interest Group Setup and Activities M34  Link

Publications

Journal Papers:

  • Terroso-Saenz, F., Valdes-Vela, M. & Skarmeta-Gomez, A.F. 2016. “Online route prediction based on clustering of meaningful velocity-change areas” Data Minning and Knowledge Discovery Volume 30 pp1480-1519. doi:10.1007/s10618-016-0452-3 (Download 1) (Download 2)
  • Fernando Terroso-Saenz, Jesus Cuenca-Jara, Aurora Gonzalez-Vidal and Antonio F. Skarmeta. Human Mobility Prediction Based on Social Media with Complex Event Processing. International Journal of Distributed Sensor Networks September 2016 12: 5836392, first published on September 12, 2016 doi:10.1177/155014775836392 (Download 1) (Donwload 2)
  • E. Fotopoulou, A. Zafeiropoulos, D. Papaspyros, P. Hasapis, G. Tsiolis, T. Bouras, S. Mouzakitis, N. Zanetti. “Linked Data Analytics in Interdisciplinary Studies: The Health Impact of Air Pollution in Urban Areas,” in IEEE Access, vol. 4, no. , pp. 149-164, 2016. doi: 10.1109/ACCESS.2015.2513439 (Download 1) (Download 2)
  • Aurora Gonzalez-Vidal, Victoria Moreno-Cano, Fernando Terroso-Saenz, Antonio F. Skarmeta (2016) Towards Energy Efficiency Smart Buildings Models Based on Intelligent Data Analytics. Procedia Computer Science. Volume 83, 2016, Pages 994–999 (Download 1) (Download 2)
  • FERNANDO TERROSO-SAENZ, AURORA GONZALEZ-VIDAL & ANTONIO F. SKARMETA 2016. Towards Anticipate Detection Of Complex Event Processing Rules With Probabilistic Modelling Price. International Journal of Design & Nature and Ecodynamics. Volume 11 (2016), Issue 3, pp 275-283 (Download 1) (Download 2)
  • Fernando Terroso-Sáenz, Mercedes Valdes-Vela, Aurora González-Vidal, and Antonio F. Skarmeta, “Human Mobility Modelling Based on Dense Transit Areas Detection with Opportunistic Sensing,” Mobile Information Systems, vol. 2016, Article ID 9178539, 15 pages, 2016. doi:10.1155/2016/9178539 (Download 1) (Download 2)
  • Victoria Moreno, Fernando Terroso-Sáenz (UMU), Aurora González-Vidal (UMU), Mercedes Valdés-Vela (UMU), Antonio F Skarmeta (UMU), Miguel A Zamora (UMU), Victor Chang. Applicability of big data techniques to smart cities deployments. IEEE Transactions on Industrial InformaticsIEEE TII6,764iot; smart cities; servicesPublished online10.1109/TII.2016.2605581 (Download 1) (Download 2)
  • Jesus Cuenca-Jara (UMU), Fernando Terroso-Saenz (UMU), Mercedes Valdes-Vela (UMU), Antonio F Skarmeta (UMU). Fuzzy Modelling for Human Dynamics Based on Online Social Networks. Sensors2,677human mobility; fuzzy logicPublished online10.3390/s17091949 (Download Here)
  • Fernando Terroso-Saenz (UMU), Aurora González-Vidal (UMU), Alfonso P Ramallo-González (UMU), Antonio F Skarmeta (UMU). An open IoT platform for the management and analysis of energy data. Future Generation Computer SystemsFGCS3.997IoT; platform; energyPublished online10.1016/j.future.2017.08.046 (Download 1) (Download 2)
  • Fotopoulou E, Zafeiropoulos A, Terroso-Sáenz F, Şimşek U, González-Vidal A, Tsiolis G, Gouvas P, Liapis P, Fensel A, Skarmeta A. Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings. Sensors. 2017; 17(9):2054.  doi:10.3390/s17092054 (Download 1) (Download 2)
  • Aurora González-Vida, Payam Barnaghi, Antonio F. Skarmeta(2018) BEATS: Blocks of Eigenvalues Algorithm for Time Series Segmentation. IEEE Transactions on Knowledge and Data Engineering NOVEMBER 2018, Volume: 30, Issue:11, pp.2051-2064 (Download Here)
  • Ignacio Rodríguez-Rodríguez, Aurora González-Vidal, Alfonso P. Ramallo-González, Miguel Ángel Zamora(2018)Commissioning of the Controlled and Automatized Testing Facility for Human Behavior and Control (CASITA), Sensors 18.9, 2829 (Download Here)

Conference Papers:

  • Fernando Terroso-Saenz, Jose L. Hernandez-Ramos, Jorge Bernal Bernabe, Antonio F. Skarmeta 2016. Opportunistic Smart Object Aggregation based on Clustering and Event Processing. IEEE International Conference on Communications (ICC-2016), Kuala Lumpur, Malaysia, 23-27 May 2016 (Download 1) (Download 2)
  • Umutcan Simsek, Anna Fensel, Anastasios Zafeiropoulos, Eleni Fotopoulou, Paris Liapis, Thanassis Bouras, Fernando Terroso Saenz, and Antonio F. Skarmeta Gomez. 2016. A semantic approach towards implementing energy efficient lifestyles through behavioural change. In Proceedings of the 12th International Conference on Semantic Systems (SEMANTiCS 2016), Anna Fensel, Amrapali Zaveri, Sebastian Hellmann, and Tassilo Pellegrini (Eds.). ACM, New York, NY, USA, 173-176. DOI: http://dx.doi.org/10.1145/2993318.2993346 (Download 1) (Download 2)
  • Antonio F. Skarmeta, Victoria Moreno-Cano, Aurora Gonzalez-Vidal, Miguel A. Zamora-Izquierdo, Fernando Terroso-Saenz. 2016 “Internet de las cosas y gamificacion aplicados a eficiencia energetica en edificios” III Congreso Edificios Energia Casi Nula, Madrid, Spain, 21-22 Junio 2016 (Download 1) (Download 2)
  • Jesus Cuenca-Jara (UMU), Fernando Terroso-Saenz(UMU), Mercedes Valdes-Vela (UMU), Aurora Gonzalez-Vidal (UMU), Antonio F Skarmeta (UMU). Human mobility analysis based on social media and fuzzy clustering. Global Internet of Things Summit (GIoTS), 2017Geneva, Switzerland6-9 June 2017  (Download Here)
  • Eleni Fotopoulou (UBITECH), Anastasios Zafeiropoulos (UBITECH) , Fernando Terroso (UMU), Aurora Gonzalez (UMU), Antonio Skarmeta (UMU), Umutcan Şimşek (UIBK), Anna Fensel (UIBK). Data aggregation, fusion and recommendations for strengthening citizens energy-aware behavioural profiles. Global Internet of Things Summit (GIoTS), 2017Geneva, Switzerland6-9 June 2017 (Download Here)
  • Aristotelis Agianniotis, Vincent Schülé, Antonio Jara, Mariam Barque, Dominique Genoud. A Sensor Networking Architecture for ENTROPY – Energy-Aware Information and Communication Technologies Infrastructure Enabling Smart Building Solutions. ICWMC 2017 : The Thirteenth International Conference on Wireless and Mobile Communications pages: 104-106, 2017. ISBN: 978-1-61208-572-2. (Download 1) (Download 2) Affiliation: Institute of Information Systems, HES-SO VS, Sierre, Switzerland
  • Gonzalez Vidal, A., Moreno Cano, M. V., Antonio F. Gómez Skarmeta (2016) Model free approach based on ioT data analytics for energy efficiency in smart environments European Conference on Networks and Communications (EuCNC) June 27-30, 2016 Athens, Greece (Download Here)
  • M. Barque, L. Dufour, D. Genoud, A. Zufferey, B. Ladevie, J-J. Bezian (2015) Solar production prediction based on nonlinear meteosource adaptation Ninth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS-2015)Blumenau, Brazil (Download Here)
  • Clara Garcia-Garcia, F. Terroso-Saenz, F. Gonzalez-Burgos and A. F. Skarmeta (2017) Integration of serious games and IoT data management platforms to motivate behavioural change for energy efficient lifestyles 2017 Global Internet of Things Summit (GIoTS) (Download Here)
  • Anna Fensel (2017) Enabling Smart Data Services for Behavioural Change. Proceedings of the Young Scientist’s Second International Workshop on Trends in Information Processing, 16-20 May 2017, pp.7-12, CEUR-WS, Dombay, Russia (Download Here)
  • Fernando Terroso, Aurora Gonzalez, Jesús Cuenca, Antonio Skarmeta (2017) An Open Architecture for IoT Data Analytics in Smart Cities. Global Wireless Summit (GWS) 2017, 15-18 October 2017 (Download Here)
  • Aurora González-Vidal, AP Ramallo-González, F Terroso-Sáenz, A. Skarmeta (2017) Data driven modeling for energy consumption prediction in smart buildings 2017 IEEE International Conference on Big Data (Big Data), December 11-14, 2017, Boston, USA (Download Here)
  • Alfonso P. Ramallo-González, Aurora González-Vidal, Antonio Skarmeta (2018) Empirical study of massive set-point behavioral data: Towards a cloud-based artificial intelligence that democratizes thermostats. 2018 IEEE International Conference on Smart Computing (SMARTCOMP). June 18-20, 2018, Sicily, Italy,(Download Here)
  • Tomas Vantuch, Aurora Gonzalez Vidal, Alfonso P. Ramallo-Gonzalez, Antonio F. Skarmeta, Stanislav Misak (2018) Machine Learning based Electric Load Forecasting for Short and Long-term Period, 4TH IEEE WORLD FORUM ON INTERNET OF THINGS WF-IOT, 05-08 February 2018, Singapore (Download Here)
  • Anastasios Zafeiropoulos, Eleni Fotopoulou, Aurora González-Vidal, Antonio Skarmeta (2018) Detaching the design, development and execution of big data analysis processes: A case study based on energy and behavioral analytics, 2018 Global Internet of Things Summit (GIoTS) 4-7 June 2018, Bilbao, Spain (Download Here)

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