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 …

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 …

In this work, we develop reduced-order machine learning models using feature selection
methods for distributed model predictive control (DMPC) of nonlinear processes …

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 …

Sensor-based material flow characterization (SBMC) promises to improve the performance
of future-generation sorting plants by enabling new applications like automatic quality …

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 …

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 …

Efficient cropping requires yield estimation for each involved crop, where data‐driven
models are commonly applied. In recent years, some data‐driven modeling technique …

Software energy consumption is a performance related non-functional requirement that
complicates building software on mobile devices today. Energy hogging applications (apps) …

Joint cost management is a decisive factor for sustainable collaboration in supplier-buyer
dyads. For both parties the establishment of an accurate cost estimation (CE) framework …