Integrating building energy simulation with a machine learning algorithm for evaluating indoor living walls' impacts on cooling energy use in commercial buildings

L Wang, MJ Witte - Energy and Buildings, 2022 - Elsevier
The environmental challenges of climate change increase the energy usage and peak
demands of buildings. Most extant studies of greenery systems focus on exterior …

Data-Driven Closed-Loop Reachability Analysis for Nonlinear Human-in-the-Loop Systems Using Gaussian Mixture Model

J Choi, S Byeon, I Hwang - IEEE Transactions on Control …, 2024 - ieeexplore.ieee.org
This article presents data-driven algorithms to perform the reachability analysis of nonlinear
human-in-the-loop (HITL) systems. Such systems require consideration of the human control …

Human skill knowledge guided global trajectory policy reinforcement learning method

Y Zang, P Wang, F Zha, W Guo, C Li… - Frontiers in …, 2024 - frontiersin.org
Traditional trajectory learning methods based on Imitation Learning (IL) only learn the
existing trajectory knowledge from human demonstration. In this way, it can not adapt the …

An evolving learning method—growing Gaussian mixture regression—for modeling passive chilled beam systems in buildings

L Wang, J Braun, S Dahal - Energy and Buildings, 2022 - Elsevier
Although chilled beam systems are considered as one of the best performing HVAC
systems, few studies have looked into data-driven-based modeling for chilled beam …

Theil-Sen Regressive Miyaguchi–Preneel-based Cryptographic Hash Blockchain for Secure Data Transmission Using Remote Sensing Data in IoT

B Sharmila, T Kalavathi Devi - IETE Journal of Research, 2024 - Taylor & Francis
Internet of things (IoT) is the most advanced version of the internet to maintain a number of
applications that combines different intelligent devices used by management or individuals …