主催: 公益社団法人 空気調和・衛生工学会
会議名: 令和元年度空気調和・衛生工学会大会(札幌)
開催地: 札幌(北海道科学大学)
開催日: 2019/09/18 - 2019/09/20
Energy saving is required for air conditioning systems. Optimal operation using conventional energy simulation has a problem that it takes time to create a model. Therefore, we will consider how to automatically determine the optimal operation by using Bayesian optimization. In this paper, Bayesian optimization and energy simulation are compared and evaluated. As a result, it is shown to be possible to achieve the same accuracy as energy simulation with a small amount of observation data.