日周期性を持つ線形基底関数モデルによる非監視設備を含むビルの消費電力内訳推定

抄録

This paper proposes an energy disaggregation method for the total energy consumption of a commercial building which only has a limited number of facility status monitor points. The method can estimate and identify the energy consumption each monitored and unmonitored facilities utilize through the statuses of monitored facilities. In order to solve a linear regression model with unmonitored facilities, the linear basis function model is applied to the unmonitored facilities. The total energy consumption of unmonitored facilities can be expressed by linear combination of daily periodic Gaussian basis functions. The regression parameters of monitored facilities and the basis functions are determined by the total energy consumption of the building and the operation statuses of monitored facilities. The method is applied to the commercial building which has six monitored air conditioning outdoor units as well as unmonitored facilities including lighting and office automation equipment. The experiment result shows the usefulness of the proposed method. The variable energy consumption of unmonitored facilities can be derived by the basis functions and the estimate accuracy of disaggregated energy consumption is applicative for the energy management. This paper also considers the effectiveness of regularization technique such as Lasso and Ridge.