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DReAM: Demand Response Architecture for Multi-level District Heating and Cooling Networks.

, , , and . e-Energy, page 353-359. ACM, (2017)

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Data-Driven Co-optimization of Energy Efficiency and Indoor Environmental Quality in Commercial Buildings., , , , , , and . e-Energy (Companion), page 140-144. ACM, (2023)Using renewables to reduce peak demand: Lessons from an Australian experience., , , , , , and . ISGT Asia, page 1-6. IEEE, (2015)Scalable Computation of 2D-Minkowski Sum of Arbitrary Non-Convex Domains: Modeling Flexibility in Energy Resources., , and . HICSS, page 1-10. ScholarSpace, (2019)Incentives and targeting policies for automated demand response contracts., , , and . SmartGridComm, page 557-562. IEEE, (2015)Building modelling methodologies for virtual district heating and cooling networks., , , , and . SmartGridComm, page 387-392. IEEE, (2017)Beyond Control: Enabling Smart Thermostats for Leakage Detection., , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 3 (1): 14:1-14:21 (2019)Gray-Box Approach for Thermal Modelling of Buildings for Applications in District Heating and Cooling Networks., and . e-Energy, page 347-352. ACM, (2017)Spatio-temporal energy profiling of commercial buildings., , , , and . ISGT Asia, page 1-6. IEEE, (2015)Optimal control architecture selection for thermal control of buildings., and . ACC, page 2071-2076. IEEE, (2011)Coordination of Behind-the-Meter Energy Storage and Building Loads: Optimization with Deep Learning Model., , , , , and . e-Energy, page 492-499. ACM, (2019)