A bibliometric review on artificial intelligence for smart buildings
J Luo - Sustainability, 2022 - mdpi.com
This paper provides a critical review on the advancements of artificial intelligence in recent
applications in building environments from the perspectives of key research hotpots …
applications in building environments from the perspectives of key research hotpots …
[HTML][HTML] Feature selection strategy for machine learning methods in building energy consumption prediction
Building energy management systems (BEMS) have somewhat standardised building
energy consumption data formats, thereby enhancing their compatibility with the relevant ML …
energy consumption data formats, thereby enhancing their compatibility with the relevant ML …
PSO based optimized ensemble learning and feature selection approach for efficient energy forecast
Swarm intelligence techniques with incredible success rates are broadly used for various
irregular and interdisciplinary topics. However, their impact on ensemble models is …
irregular and interdisciplinary topics. However, their impact on ensemble models is …
Energy prediction and optimization for smart homes with weather metric-weight coefficients
Home appliances are considered to account for a large portion of smart homes' energy
consumption. This is due to the abundant use of IoT devices. Various home appliances …
consumption. This is due to the abundant use of IoT devices. Various home appliances …
A comprehensive predictive-learning framework for optimal scheduling and control of smart home appliances based on user and appliance classification
Energy consumption is increasing daily, and with that comes a continuous increase in
energy costs. Predicting future energy consumption and building an effective energy …
energy costs. Predicting future energy consumption and building an effective energy …
Developing a Virtual Actuator as a Digital Twin
H Aydemir, U Zengin, D Kruschinski… - AIAA Aviation 2022 …, 2022 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2022-3629. vid The rapid development
and integration of technology mean that customer needs also change rapidly. Also, this …
and integration of technology mean that customer needs also change rapidly. Also, this …
Codesigned Communication and Data Analytics for Condition-Based Maintenance in Smart Buildings
With the proliferation of cheap sensors and the ubiquity of cloud and edge computing,
predictive/condition-based maintenance is expected to play an important role in smart …
predictive/condition-based maintenance is expected to play an important role in smart …
Optimization of Sensor Configurations for Fault Identification in Smart Buildings
In predictive maintenance an important problem is to optimize the quantity of information to
be transmitted at the control center to guarantee reliable fault detection while limiting sensor …
be transmitted at the control center to guarantee reliable fault detection while limiting sensor …
[引用][C] 가전기기의전력소비분석및에너지최적화연구
강우일， 이규태， 기장근， 남상엽， 김도현 - 대한전자공학회학술대회, 2023 - dbpia.co.kr
As the utilization of electric energy increases, research to efficiently manage power
consumption of various home appliances is spreading. Research on minimizing energy …
consumption of various home appliances is spreading. Research on minimizing energy …
[引用][C] Ensemble Learning on PSO based Predictive-Learning Framework for Optimal Actuator Control in Smart Homes
In this study, we aim to predict the energy consumption in smart homes and define actuator
control rules accordingly. The proposed method performs random sampling over the training …
control rules accordingly. The proposed method performs random sampling over the training …