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Generation and Evaluation of Flex-Offers from Flexible Electrical Devices.

, , and . e-Energy, page 143-156. ACM, (2017)

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A Novel Ensemble Learning-Based Approach for Click Fraud Detection in Mobile Advertising., , , , and . MIKE, volume 8284 of Lecture Notes in Computer Science, page 370-382. Springer, (2013)Utilizing Device-level Demand Forecasting for Flexibility Markets., , and . e-Energy, page 108-118. ACM, (2018)Flexibility Modeling, Management, and Trading in Bottom-up Cellular Energy Systems., , , and . e-Energy, page 170-180. ACM, (2019)Towards Flexibility Detection in Device-Level Energy Consumption., , and . DARE, volume 8817 of Lecture Notes in Computer Science, page 1-16. Springer, (2014)Modeling and Managing Energy Flexibility Using FlexOffers., , and . SmartGridComm, page 1-7. IEEE, (2018)DeMand: A Tool for Evaluating and Comparing Device-Level Demand and Supply Forecast Models., , and . EDBT/ICDT Workshops, volume 1558 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Evaluating the Value of Flexibility in Energy Regulation Markets., , and . e-Energy, page 131-140. ACM, (2015)Detecting click fraud in online advertising: a data mining approach., , , , , , , , , and 8 other author(s). J. Mach. Learn. Res., 15 (1): 99-140 (2014)Utilizing Device-level Demand Forecasting for Flexibility Markets - Full Version., , and . CoRR, (2018)Generation and Evaluation of Flex-Offers from Flexible Electrical Devices., , and . e-Energy, page 143-156. ACM, (2017)