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[HTML][HTML] Investigating the influence of maintenance strategies on building energy performance: A systematic literature review
Worldwide, buildings consume a large amount of energy, and a significant share of this
energy is wasted due to system degradation, inappropriate control systems and improper …
energy is wasted due to system degradation, inappropriate control systems and improper …
[HTML][HTML] Technology Development in Online Grocery Shop**—From Shop** Services to Virtual Reality, Metaverse, and Smart Devices: A Review
This paper presents a review of the technologies and services associated with online
grocery shop**. The progress in the field of online grocery shop** has been very rapid …
grocery shop**. The progress in the field of online grocery shop** has been very rapid …
A residential labeled dataset for smart meter data analytics
Smart meter data is a cornerstone for the realization of next-generation electrical power
grids by enabling the creation of novel energy data-based services like providing …
grids by enabling the creation of novel energy data-based services like providing …
Towards Feasible Solutions for Load Monitoring in Quebec Residences
For many years, energy monitoring at the most disaggregate level has been mainly sought
through the idea of Non-Intrusive Load Monitoring (NILM). Develo** a practical …
through the idea of Non-Intrusive Load Monitoring (NILM). Develo** a practical …
Low runtime approach for fault detection for refrigeration systems in smart homes using wavelet transform
This work investigates the efficiency of a fault detection system for refrigeration equipment
based on Wavelet Transform. To perform the task, we used the well–known database REFIT …
based on Wavelet Transform. To perform the task, we used the well–known database REFIT …
High-resolution electric power load data of an industrial park with multiple types of buildings in China
K Zhou, D Hu, R Hu, J Zhou - Scientific Data, 2023 - nature.com
Considering the growing demand for electricity in industrial parks, understanding their
electric power load patterns is critical for improving energy efficiency and ensuring the …
electric power load patterns is critical for improving energy efficiency and ensuring the …
Anomaly detection on household appliances based on variational autoencoders
Electrical anomalies in residential buildings represent a serious problem that can
unpredictably change the power profiles of end-users, causing a sub-optimal energy …
unpredictably change the power profiles of end-users, causing a sub-optimal energy …
Feature extraction of anomaly electricity usage behavior in residence using autoencoder
Due to the climate crisis, energy-saving issues and carbon reduction have become the top
priority for all countries. Owing to the increasing popularity of advanced metering …
priority for all countries. Owing to the increasing popularity of advanced metering …
Anomaly detection on an iot-based vaccine storage refrigerator temperature monitoring system
Maintaining temperature stability is paramount in research related to vaccine storage
refrigerators. However, none have implemented a monitoring system with anomaly detection …
refrigerators. However, none have implemented a monitoring system with anomaly detection …
Time Series Anomaly Detection in Smart Homes: A Deep Learning Approach
Fixing energy leakage caused by different anomalies can result in significant energy savings
and extended appliance life. Further, it assists grid operators in scheduling their resources to …
and extended appliance life. Further, it assists grid operators in scheduling their resources to …