A systematic review and comprehensive analysis of building occupancy prediction

T Li, X Liu, G Li, X Wang, J Ma, C Xu, Q Mao - Renewable and Sustainable …, 2024 - Elsevier
Buildings account for a significant portion of the global energy consumption. Forecasting
personnel occupancy is critical for reducing energy consumption in buildings. This study …

Modeling Variable Refrigerant Flow (VRF) systems in building applications: A comprehensive review

J Wang, X Lu, V Adetola, E Louie - Energy and Buildings, 2024 - Elsevier
Abstract Variable Refrigerant Flow (VRF) systems have gained recognition for being energy-
efficient and adaptable for use in heating, ventilation, and air conditioning (HVAC) …

Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview

TC Akinci, G Erdemir, AT Zengin, S Seker… - IEEE Access, 2023 - ieeexplore.ieee.org
This study endeavors to investigate the effectiveness of machine learning-based
methodologies in enhancing the performance and reliability of Power Line Communication …

Knowledge-informed Variational Bayesian Gaussian mixture regression model for predicting mixed oil length

Z Yuan, L Chen, G Liu, Y Zhang - Energy, 2023 - Elsevier
Precise prediction of mixed oil length is a critical task in the multi-product pipeline. Current
predictive models may not achieve desirable performance as they neglected the multimode …

A novel study on Power Consumption of an HVAC system using CatBoost and AdaBoost algorithms combined with the Metaheuristic Algorithms

J Bian, J Wang, Q Yece - Energy, 2024 - Elsevier
Efficient power management is fundamental for organizations and systems to conserve
resources, reduce costs, and improve environmental sustainability. To achieve the …

Acoustic comfort improvement of simultaneous heating and cooling heat pumps using control logic for flow-induced noise reduction

C Han, J Jang, S Kwon, J Lee, C Song, Y Sa… - Applied Thermal …, 2024 - Elsevier
Acoustic comfort in buildings can be achieved by minimizing unwanted noise generated
primarily from heating, ventilation, and air-conditioning systems. However, research on …

[PDF][PDF] Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview

S SEKER, AI IDRISS - 2023 - researchgate.net
This study endeavors to investigate the effectiveness of machine learning-based
methodologies in enhancing the performance and reliability of Power Line Communication …