42 citations · 92 across the 9 of their papers we have counts for
11 papers
From 'What-is' to 'What-if' in Human-Factor Analysis: A Post-Occupancy Evaluation Case
Xia Chen, Ruiji Sun, Philipp Geyer +2
Human-factor analysis typically employs correlation analysis and significance testing to identify relationships between variables. However, these descriptive ('what-is') methods, w…
Integrating Symbolic Neural Networks with Building Physics: A Study and Proposal
Xia Chen, Guoquan Lv, Xinwei Zhuang +3
Symbolic neural networks, such as Kolmogorov-Arnold Networks (KAN), offer a promising approach for integrating prior knowledge with data-driven methods, making them valuable for ad…
Machine Learning in Proton Exchange Membrane Water Electrolysis -- Part I: A Knowledge-Integrated Framework
Xia Chen, Alexander Rex, Janis Woelke +4
In this study, we propose to adopt a novel framework, Knowledge-integrated Machine Learning, for advancing Proton Exchange Membrane Water Electrolysis (PEMWE) development. Given th…
Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industry
Xia Chen, Ruiji Sun, Ueli Saluz +2
The decision-making process in real-world implementations has been affected by a growing reliance on data-driven models. We investigated the synergetic pattern between the data-dri…
Pathway toward prior knowledge-integrated machine learning in engineering
Xia Chen, Philipp Geyer
Despite the digitalization trend and data volume surge, first-principles models (also known as logic-driven, physics-based, rule-based, or knowledge-based models) and data-driven a…
Utilizing Domain Knowledge: Robust Machine Learning for Building Energy Prediction with Small, Inconsistent Datasets
Xia Chen, Manav Mahan Singh, Philipp Geyer
The demand for a huge amount of data for machine learning (ML) applications is currently a bottleneck in an empirically dominated field. We propose a method to combine prior knowle…
A Dynamic Feedforward Control Strategy for Energy-efficient Building System Operation
Xia Chen, Xiaoye Cai, Alexander Kümpel +2
The development of current building energy system operation has benefited from: 1. Informational support from the optimal design through simulation or first-principles models; 2. S…
Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX
Xia Chen, Xiangbin Teng, Han Chen +2
This study examines the efficacy of various neural network (NN) models in interpreting mental constructs via electroencephalogram (EEG) signals. Through the assessment of 16 preval…
A hybrid-model approach for reducing the performance gap in building energy forecasting
Xia Chen, Tong Guo, Martin Kriegel +1
The performance gap between predicted and actual energy consumption in the building domain remains an unsolved problem in practice. The gap exists differently in both current mains…
Introducing causal inference in the energy-efficient building design process
Xia Chen, Jimmy Abualdenien, Manav Mahan Singh +2
"What-if" questions are intuitively generated and commonly asked during the design process. Engineers and architects need to inherently conduct design decisions, progressing from o…
Explainable AI for Engineering Design: A Unified Approach of Systems Engineering and Component- Based Deep Learning Demonstrated by Energy- Efficient Building Design
Philipp Geyer, Manav Mahan Singh, Xia Chen
Data-driven models created by machine learning, gain in importance in all fields of design and engineering. They, have high potential to assist decision-makers in creating novel, a…