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AI Modelling and Time-series Forecasting Systems for Trading Energy Flexibility in Distribution Grids.

, , , , and . e-Energy, page 381-382. ACM, (2019)

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GOFLEX: extracting, aggregating and trading flexibility based on FlexOffers for 500+ prosumers in 3 European cities operational systems paper., , , , , , , , , and 5 other author(s). e-Energy, page 361-373. ACM, (2022)Extracting Text Representations for Terms and Phrases in Technical Domains., and . ACL (industry), page 61-70. Association for Computational Linguistics, (2023)Scalable Deployment of AI Time-series Models for IoT., , , , and . CoRR, (2020)Castor: Contextual IoT Time Series Data and Model Management at Scale., , , , , , and . ICDM Workshops, page 1487-1492. IEEE, (2018)RecoNet: An Interpretable Neural Architecture for Recommender Systems., , , , and . IJCAI, page 2343-2349. ijcai.org, (2019)SPARQL for Ontology-based data access. Department of Computer Science. Università degli Studi di Roma La Sapienza, MSc in Compute Science, (2008)Evaluating IP Blacklists Effectiveness., and . FiCloud, page 336-343. IEEE, (2023)AI Modelling and Time-series Forecasting Systems for Trading Energy Flexibility in Distribution Grids., , , , and . e-Energy, page 381-382. ACM, (2019)Using Deep Packet Inspection in CyberTraffic Analysis., and . CSR, page 89-94. IEEE, (2021)Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks., , , , and . IEEE BigData, page 1301-1308. IEEE, (2020)