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DC4Cities power planning: sensitivity to renewable energy forecasting errors.

, , and . E2DC@e-Energy, page 7:1-7:6. ACM, (2016)

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Performance tradeoffs of energy-aware virtual machine consolidation., , and . Cluster Computing, 16 (3): 481-496 (2013)A methodology to predict the power consumption of servers in data centres., , , , and . e-Energy, page 1-10. ACM, (2011)Greensdas leveraging power adaption collaboration between energy provider and data centres, , , , and . 2013 Sustainable Internet and ICT for Sustainability (SustainIT), IEEE, (October 2013)Modelling and analysing the power consumption of idle servers., , and . SustainIT, page 1-9. IEEE, (2012)Greener Bits: Formal Analysis of Demand Response., , , , and . ATVA, volume 9938 of Lecture Notes in Computer Science, page 323-339. (2016)Quantifying IT Energy Efficiency., , and . Advances in Computers, (2012)A Novel Collaboration Paradigm for Reducing Energy Consumption and Carbon Dioxide Emissions in Data Centres., , , , , , , , , and . Comput. J., 56 (12): 1518-1536 (2013)Quality Assessment of the MPEG-4 Scalable Video CODEC., , and . ICIAP, volume 5716 of Lecture Notes in Computer Science, page 297-306. Springer, (2009)Energy supply aware power planning for flexible loads., , and . E2DC@e-Energy, page 2:1-2:6. ACM, (2016)Greensdas leveraging power adaption collaboration between energy provider and data centres., , , , and . SustainIT, page 1-9. IEEE, (2013)