Automated data-driven modeling of building energy systems via machine learning algorithms
M Rätz, AP Javadi, M Baranski, K Finkbeiner… - Energy and …, 2019 - Elsevier
Abstract System modeling is a vital part of building energy optimization and control. Grey
and white box modeling requires knowledge about the system and a lot of human …
and white box modeling requires knowledge about the system and a lot of human …
A comprehensive review of solar irradiation estimation and forecasting using artificial neural networks: data, models and trends
Solar irradiation data are imperatively required for any solar energy-based project. The non-
accessibility and uncertainty of these data can greatly affect the implementation …
accessibility and uncertainty of these data can greatly affect the implementation …
Thermodynamics-inspired explanations of artificial intelligence
In recent years, predictive machine learning models have gained prominence across
various scientific domains. However, their black-box nature necessitates establishing trust in …
various scientific domains. However, their black-box nature necessitates establishing trust in …
[HTML][HTML] Feature selection-based machine learning modeling for distributed model predictive control of nonlinear processes
T Zhao, Y Zheng, Z Wu - Computers & Chemical Engineering, 2023 - Elsevier
In this work, we develop reduced-order machine learning models using feature selection
methods for distributed model predictive control (DMPC) of nonlinear processes …
methods for distributed model predictive control (DMPC) of nonlinear processes …
Integrating dynamic Bayesian network and physics-based modeling for risk analysis of a time-dependent power distribution system during hurricanes
Hurricane is one of the major natural hazards that bring significant damages and failures to
the power distribution system for many coastal regions. For better decision-making, pre …
the power distribution system for many coastal regions. For better decision-making, pre …
Sensor-based particle mass prediction of lightweight packaging waste using machine learning algorithms
Sensor-based material flow characterization (SBMC) promises to improve the performance
of future-generation sorting plants by enabling new applications like automatic quality …
of future-generation sorting plants by enabling new applications like automatic quality …
Greenoracle: Estimating software energy consumption with energy measurement corpora
Software energy consumption is a relatively new concern for mobile application developers.
Poor energy performance can harm adoption and sales of applications. Unfortunately for the …
Poor energy performance can harm adoption and sales of applications. Unfortunately for the …
Attribute selection impact on linear and nonlinear regression models for crop yield prediction
Efficient crop** requires yield estimation for each involved crop, where data‐driven
models are commonly applied. In recent years, some data‐driven modeling technique …
models are commonly applied. In recent years, some data‐driven modeling technique …
Patient safety in work environments: Perceptions of pediatric healthcare providers in Taiwan
Background Extensive research on the link between the organizational characteristics of the
work environment and patient safety in a healthcare organization has been conducted; yet …
work environment and patient safety in a healthcare organization has been conducted; yet …
GreenScaler: training software energy models with automatic test generation
S Chowdhury, S Borle, S Romansky… - Empirical Software …, 2019 - Springer
Software energy consumption is a performance related non-functional requirement that
complicates building software on mobile devices today. Energy hogging applications (apps) …
complicates building software on mobile devices today. Energy hogging applications (apps) …