Titlebook: Computational Sustainability; J?rg L?ssig,Kristian Kersting,Katharina Morik Book 2016 Springer International Publishing Switzerland 2016 C

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Sustained Simulation Performance 2014ture combinations based on these two data sources. After optimizing the settings and comparing the employed statistical learning models, we build a hybrid predictor that uses forecasts of both employed models.

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https://doi.org/10.1007/978-3-319-46735-1e studies are described: the prediction of the Basic Oxygen Furnace endpoint and the quality prediction in a hot rolling mill process. Both case studies are not academic prototypes, but truly real-world applications.

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Book 2016enarios. Thiscovers topics such as renewable energy supply, energy storage and e-mobility, efficiencyin data centers and networks, sustainable food and water supply, sustainablehealth, industrial production and quality, etc. The book describescomputational methods and possible application scenarios.

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