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A comprehensive modelling framework for demand side flexibility in smart grids.

, , , and . Comput. Sci. Res. Dev., 33 (1-2): 13-23 (2018)

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Marketing Risk of Renewable Generators., , and . e-Energy, page 433-435. ACM, (2019)SCiBER: A new public data set of municipal building consumption., , , , and . e-Energy, page 618-621. ACM, (2018)Predicting Redispatch in the German Electricity Market using Information Systems based on Machine Learning., , , and . ICIS, Association for Information Systems, (2018)A comprehensive modelling framework for demand side flexibility in smart grids., , , and . Comput. Sci. Res. Dev., 33 (1-2): 13-23 (2018)Welcome message from the organizers., , , , and . Energy Inform., (2021)Market Mechanisms for neighbourhood electricity Grids: Design and Agent-based Evaluation., , and . ECIS, (2019)Smart Data Selection and Reduction for Electric Vehicle Service Analytics., , and . HICSS, page 1-10. ScholarSpace / AIS Electronic Library (AISeL), (2017)An operational strategy for district heating networks: application of data-driven heat load forecasts., , , , and . Energy Inform., (2020)Transmission Grid Congestion Data and Directions for Future Research., , and . e-Energy, page 443-446. ACM, (2019)The Potential of Agent-Based Simulation for Assessing the Bilateral-Nodal Debate., , , , and . e-Energy, page 465-467. ACM, (2018)