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Detection of Appliance-Level Abnormal Energy Consumption in Buildings Using Autoencoders and Micro-moments
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
The detection of anomalous energy usage could help significantly in signaling energy wastage and identifying faulty appliances, especially if the individual power traces are analyzed. To that end, this paper proposes a ...
The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in Buildings
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Edge computing is attracting an increasing attention presently even though most of the building energy efficiency solutions are still using cloud computing for gathering, pre-processing and analyzing energy data. However, ...
Appliance-Level Monitoring with Micro-Moment Smart Plugs
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Conference Paper)
Human population are striving against energy-related issues that not only affects society and the development of the world, but also causes global warming. A variety of broad approaches have been developed by both industry ...
"I want to ... Change": Micro-moment based recommendations can change users' energy habits
(
SciTePress
, 2019 , Conference Paper)
Since electricity consumption of households in developing countries is dramatically increasing every year, it is now more prudent than ever to utilize technology-based solutions that assist energy end-users to improve ...
Reshaping Consumption Habits by Exploiting Energy-Related Micro-moment Recommendations: A Case Study
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Conference Paper)
The environmental change and its effects, caused by human influences and natural ecological processes over the last decade, prove that it is now more prudent than ever to transition to more sustainable models of energy ...
Building power consumption datasets: Survey, taxonomy and future directions
(
Elsevier
, 2020 , Article Review)
In the last decade, extended efforts have been poured into energy efficiency. Several energy consumption datasets were henceforth published, with each dataset varying in properties, uses and limitations. For instance, ...
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
(
Springer
, 2020 , Article)
Nowadays, analyzing, detecting, and visualizing abnormal power consumption behavior of householders are among the principal challenges in identifying ways to reduce power consumption. This paper introduces a new solution ...