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Demand Response Integration tEchnologies: unlocking the demand response potential in the distribution grid

Rezultaty

Project Website and baseline dissemination material

Project webpage and social networks are developed, separately it will include a project newsletter, a roll-up poster and a brochure. (T8.2)

Requirements: context of application

Comprehensive overview on main DRIvE topic to support elicitation of design and development requirements. (T2.1)

Standardization Contributions

Summary report on Contribution to Regulatory and Standardization bodies. (T8.6)

Validation plan

Report detailing the validation strategy to be used for a consistent and reliable validation campaign. Includes definition of KPIs and Mapping and characterization of testing scenarios/use cases in the different pilots using the Smart Grid Architecture Methodology (SGAM). (T7.2)

Results assessment and wider uptake

This report includes the details of the tecno/economic assessment for the different use cases. Assessing result first in the limited scope of the validation activities and then globally. (T7.5)

Business Model Vision

Summary report on the considered business models for the main developments with estimates of financial and material flows, stakeholders involved agreements and other potential needs. (T8.4)

Current regulatory framework regarding DR

Analysis of the current regulatory framework for Demand Response services and set of useful requirements for the design of the DRIvE solution components. (T2.2)

DRIvE forecasting component

Report describeing the forecasting components of the DRIvE platform. Executable software to provide forecasting capability for DRIvE DR platform, and a report on the development and user guide. (T3.1)

Publikacje

Electric Vehicle Charging Load Forecasting: A Comparative Study of Deep Learning Approaches

Autorzy: Juncheng Zhu, Zhile Yang, Monjur Mourshed, Yuanjun Guo, Yimin Zhou, Yan Chang, Yanjie Wei, Shengzhong Feng
Opublikowane w: Energies, Numer 12/14, 2019, Strona(/y) 2692, ISSN 1996-1073
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en12142692

Demand Response Integration tEchnologies: Unlocking the Demand Response Potential in the Distribution Grid

Autorzy: Tatiana Loureiro, Raymond Sterling, Meritxell Vinyals
Opublikowane w: Proceedings, Numer 2/15, 2018, Strona(/y) 1129, ISSN 2504-3900
Wydawca: MDPI AG
DOI: 10.3390/proceedings2151129

Putting Residential Flexibility Management into Action with Pilot Sites in Europe: From Mas2tering to DRIvE Projects

Autorzy: Marie-France Robbe, Meritxell Vinyals, Stefan Lodeweyckx, Juan Manuel Espeche, Paul-Emmanuel Brun, Sergio Valentino Costa, Monjur Mourshed, Aleksandar Kavgić, Tatiana Loureiro
Opublikowane w: Proceedings, Numer 2/15, 2018, Strona(/y) 1130, ISSN 2504-3900
Wydawca: MDPI
DOI: 10.3390/proceedings2151130

Forecasting Algorithms and Optimization Strategies for Building Energy Management & Demand Response

Autorzy: Fanlin Meng, Kui Weng, Balsam Shallal, Xiangping Chen, Monjur Mourshed
Opublikowane w: Proceedings, Numer 2/15, 2018, Strona(/y) 1133, ISSN 2504-3900
Wydawca: MDPI
DOI: 10.3390/proceedings2151133

Tecnologías para la integración de respuesta a la demanda en edificios inteligentes: desde el control hasta el blockchain

Autorzy: Espeche, Juan; Aranda, Ivan; Loureiro, Tatiana; Sterling, Raymond
Opublikowane w: Libro de comunicaciones y proyectos. V Congreso Edificios Inteligentes, Numer 1, 2019, Strona(/y) 83-87, ISBN 9781-091156715
Wydawca: Grupo Tecma Red
DOI: 10.5281/zenodo.3300181

Distributed Schemes, Innovative Solutions for Smart Grids: P2P, Multi-Agent Systems & Blockchain

Autorzy: Tatiana Loureiro, Juan Espeche, Meritxell Vinyals, Ugo Stecchi, Dimitrios Tzovaras, Dimosthenis Ioannidis, Davy Geysen
Opublikowane w: Proceedings, Numer 20/1, 2019, Strona(/y) 5, ISSN 2504-3900
Wydawca: MDPI AG
DOI: 10.3390/proceedings2019020005

Peer-to-peer Energy Trading for Smart Energy Communities

Autorzy: Roman Denysiuk, Fabio Lilliu, Diego Recupero, Meritxell Vinyals
Opublikowane w: Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020, Strona(/y) 40-49, ISBN 978-989-758-395-7
Wydawca: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0008915400400049

Multiagent System for Community Energy Management

Autorzy: Roman Denysiuk, Fabio Lilliu, Meritxell Vinyals, Diego Recupero
Opublikowane w: Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020, Strona(/y) 28-39, ISBN 978-989-758-395-7
Wydawca: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0008914200280039

DRIvE Project Unlocks Demand Response Potential with Digital Twins

Autorzy: Laura Pérez, Juan Espeche, Tatiana Loureiro, Aleksandar Kavgić
Opublikowane w: Proceedings, Numer 65/1, 2020, Strona(/y) 14, ISSN 2504-3900
Wydawca: MDPI
DOI: 10.3390/proceedings2020065014

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