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GOFLEX: extracting, aggregating and trading flexibility based on FlexOffers for 500+ prosumers in 3 European cities operational systems paper.

, , , , , , , , , , , , , , and . e-Energy, page 361-373. ACM, (2022)

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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)Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks., , , , and . IEEE BigData, page 1301-1308. IEEE, (2020)Castor: Contextual IoT Time Series Data and Model Management at Scale., , , , , , and . ICDM Workshops, page 1487-1492. IEEE, (2018)Scalable Deployment of AI Time-series Models for IoT., , , , and . CoRR, (2020)Symbol Description Reading., , and . AAAI, page 22934-22940. AAAI Press, (2024)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)Two-sample KS test with approxQuantile in Apache Spark®., , and . IEEE Big Data, page 1912-1917. IEEE, (2023)Deployment and Management of Time Series Forecasts in Ocean Industry., , , , , and . IEEE BigData, page 4091-4096. IEEE, (2021)A monitoring framework for deployed machine learning models with supply chain examples., , , , and . IEEE Big Data, page 2231-2238. IEEE, (2022)Robustness to Time Discretization Errors in Water Network Optimization., , , , and . OR, page 581-588. Springer, (2014)