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Dengjia Wang
Researcher at Xi'an University of Architecture and Technology
Publications - 137
Citations - 2416
Dengjia Wang is an academic researcher from Xi'an University of Architecture and Technology. The author has contributed to research in topics: Thermal comfort & Thermal energy storage. The author has an hindex of 20, co-authored 101 publications receiving 1131 citations.
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Classification, experimental assessment, modeling methods and evaluation metrics of Trombe walls
TL;DR: This review focuses on the classification, experimental assessment, modeling methods, and evaluation metrics for Trombe wall, as a classical passive solar heating technique, which implies a rising attention to this technique.
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Comparison of support vector machine and copula-based nonlinear quantile regression for estimating the daily diffuse solar radiation: A case study in China
TL;DR: The results showed that for the training phases, SVM-FFA outperformed the corresponding models while empirical models performed slightly better than corresponding CNQR models.
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Classification of solar radiation zones and general models for estimating the daily global solar radiation on horizontal surfaces in China
TL;DR: In this article, a two-step radiation zoning method was proposed by using k-means cluster and Support Vector Machine-Genetic Algorithm, which is capable to combine the SROS and the stations without radiation in the process of classification.
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Student responses to classroom thermal environments in rural primary and secondary schools in winter
TL;DR: In this paper, the authors investigated the thermal environments in rural primary and secondary school classrooms in Northwest China and identify suitable values for the design parameters of heating systems to ensure the thermal comfort of the students.
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A novel combined multi-task learning and Gaussian process regression model for the prediction of multi-timescale and multi-component of solar radiation
TL;DR: In this paper, a combined multi-task learning and Gaussian process regression (MTGPR) model is proposed to predict the multi-time scale (daily and monthly mean daily) and multi-component (global and diffuse) solar radiation simultaneously.