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- Thomas, HS, et al.
(författare)
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- 2019
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swepub:Mat__t
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- Vaezipour, Atiyeh, et al.
(författare)
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Visual Analytics for Informed Decisions
- 2013
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Konferensbidrag (refereegranskat)abstract
- Energy efficiency heavily depends on effective building construction. It is more appropriate if one can predict energy efficiency of the house before building it.Here simple application of the Nearest Neighbors lazy learning techniques improveestimating the energy efficiency of a building. Visual analytics tools considered a smart solution as a function of modeling parameters by using Machine Learning framework in a suitable way. It is a powerful way to improve energy saving in building construction and making informed decisions.“LIONsolver with a novel implementation of machine learning plus optimization provides a highly advanced environment for predictive analytics. In this poster a case study from the LIONbook is presented where the energy consumption for a newhouse project is predicted. The predictive analytics environment of LIONsolver in this case study has transformed the optimal design from a very complicated and time consuming process to a very speedy and simple strategy for design and decisionmaking.”
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