This paper presents the modeling method and coordinate control strategy for photovoltaic dc building module (PV-DCBM) based building integrated photovoltaic (BIPV) system.
The logistic regression model is penalized with the Sparse Group Lasso to fit the training data, and parameter estimation is obtained using the blockwise coordinate descent method and coordinate gradient descent method.
The logistic regression model penalized with Sparse Group Lasso is fitted on the training data, and parameter estimation is obtained by a blockwise coordinate descent method and coordinate gradient descent method.
He drafted the outline, abstract, results (data appliance) and methods, and coordinated synthesis, editing and submittal of the manuscript.
PM conceptualized the paper and its methods and coordinated the write up and data analysis with the other four authors.
WJM and SAJRA participated in the development of the study methods and coordinated the data collection.
NTB and CA participated in the development of the study methods and coordinated data collection.
LA participated in the development of the study methods and coordinated data collection.
She trains and guides students in qualitative methods and coordinates the free-standing MA program in Sociology.
Based on the literature [ 16], this paper proposes the Sparse Group Lasso method for channel selection and feature selection of the EEG fused feature and estimates model parameters using a combination of the blockwise coordinate descent method and the coordinate gradient descent method.
