Anomaly detection in univariate time-series: A survey on the state-of-the-art
M Braei, S Wagner - ar** countries,
has experienced a significant increase. The increasingly expensive resources and the …
has experienced a significant increase. The increasingly expensive resources and the …
Machine learning for smart cities: A survey
CV Mahamuni, Z Sayyed… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Smart Cities utilize Information and Communication Technology (ICT) tools to improve
operational efficiency and provide excellent service. It aims to make the core infrastructure …
operational efficiency and provide excellent service. It aims to make the core infrastructure …
Efficient abnormal building consumption detection by deep learning LSTM IOT data classification
J Arkhangelski, M Abdou-Tankari… - 2022 11th International …, 2022 - ieeexplore.ieee.org
This research deals with the method of efficient detection of abnormal building energy
consumption and energy losses for further intelligent building energy management and …
consumption and energy losses for further intelligent building energy management and …
An GMM Method in IoT Approach to Improve Energy Efficiency in Smart Building
The rapid growth of commercial building energy use has created a need for innovative
methods for reducing and optimizing building energy use. Building Energy Management …
methods for reducing and optimizing building energy use. Building Energy Management …
Artificial Intelligence-Based Assistance Systems for Environmental Sustainability in Smart Homes: A Systematic Literature Review on Requirements and Future …
Recently, Artificial Intelligence (AI) is becoming more widespread in the context of fostering
more sustainable behavior. In particular, in the context of (private) smart homes, such …
more sustainable behavior. In particular, in the context of (private) smart homes, such …