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Energy and Heat-Aware Metrics for Data Centers: Metrics Analysis in the Framework of CoolEmAll Project.

, , , , and . CGC, page 428-434. IEEE Computer Society, (2013)

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State space models for building control: how deep should you go?, , , , , , and . CoRR, (2020)CoolEmAll: Models and Tools for Planning and Operating Energy Efficient Data Centres., , , , , , , , , and 9 other author(s). Handbook on Data Centers, Springer, (2015)Minimization of Costs and Energy Consumption in a Data Center by a Workload-Based Capacity Management., , , , and . E2DC, volume 8945 of Lecture Notes in Computer Science, page 102-119. Springer, (2014)Experimental Testing of Variable Speed Heat Pump Control Strategies for Enhancing Energy Flexibility in Buildings., , , and . IEEE Access, (2019)Energy and Heat-Aware Metrics for Data Centers: Metrics Analysis in the Framework of CoolEmAll Project., , , , and . CGC, page 428-434. IEEE Computer Society, (2013)Energy-efficient, thermal-aware modeling and simulation of data centers: The CoolEmAll approach and evaluation results., , , , , , , , , and . Ad Hoc Networks, (2015)Configurations of model predictive control to exploit energy flexibility in building thermal loads., , and . CDC, page 3177-3182. IEEE, (2018)Metrics for Assessing Flexibility and Sustainability of Next Generation Data Centers., , , , , , , , and . GLOBECOM Workshops, page 1-6. IEEE, (2015)